TorBT - Torrents and Magnet Links Search Engine
    
    [FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery
- Date: 2024-03-06
- Size: 19 GB
- Files: 799
File Name
                Size
            0. Websites you may like/[CourseClub.ME].url
                122 B
            0. Websites you may like/[FCS Forum].url
                133 B
            0. Websites you may like/[FreeCourseSite.com].url
                127 B
            1. Introduction/1. Course Outline.mp4
                77 MB
            1. Introduction/1. Course Outline.srt
                9.2 kB
            1. Introduction/2. Join Our Online Classroom!.html
                2.3 kB
            1. Introduction/3. Exercise Meet The Community.html
                2.5 kB
            1. Introduction/4. Your First Day.mp4
                28 MB
            1. Introduction/4. Your First Day.srt
                5.3 kB
            10. Supervised Learning Classification + Regression/1. Milestone Projects!.html
                738 B
            11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.mp4
                10 MB
            11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.srt
                3.1 kB
            11. Milestone Project 1 Supervised Learning (Classification)/10. Preparing Our Data For Machine Learning.mp4
                73 MB
            11. Milestone Project 1 Supervised Learning (Classification)/10. Preparing Our Data For Machine Learning.srt
                12 kB
            11. Milestone Project 1 Supervised Learning (Classification)/11. Choosing The Right Models.mp4
                96 MB
            11. Milestone Project 1 Supervised Learning (Classification)/11. Choosing The Right Models.srt
                13 kB
            11. Milestone Project 1 Supervised Learning (Classification)/12. Experimenting With Machine Learning Models.mp4
                55 MB
            11. Milestone Project 1 Supervised Learning (Classification)/12. Experimenting With Machine Learning Models.srt
                9.6 kB
            11. Milestone Project 1 Supervised Learning (Classification)/13. TuningImproving Our Model.mp4
                103 MB
            11. Milestone Project 1 Supervised Learning (Classification)/13. TuningImproving Our Model.srt
                18 kB
            11. Milestone Project 1 Supervised Learning (Classification)/14. Tuning Hyperparameters.mp4
                108 MB
            11. Milestone Project 1 Supervised Learning (Classification)/14. Tuning Hyperparameters.srt
                16 kB
            11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters 2.mp4
                104 MB
            11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters 2.srt
                15 kB
            11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 3.mp4
                63 MB
            11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 3.srt
                9.9 kB
            11. Milestone Project 1 Supervised Learning (Classification)/17. Evaluating Our Model.mp4
                72 MB
            11. Milestone Project 1 Supervised Learning (Classification)/17. Evaluating Our Model.srt
                15 kB
            11. Milestone Project 1 Supervised Learning (Classification)/18. Evaluating Our Model 2.mp4
                42 MB
            11. Milestone Project 1 Supervised Learning (Classification)/18. Evaluating Our Model 2.srt
                7.4 kB
            11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model 3.mp4
                65 MB
            11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model 3.srt
                12 kB
            11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.mp4
                34 MB
            11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.srt
                10 kB
            11. Milestone Project 1 Supervised Learning (Classification)/2.1 End-to-end Heart Disease Classification Notebook (same as in videos).html
                207 B
            11. Milestone Project 1 Supervised Learning (Classification)/2.2 Structured Data Projects on GitHub.html
                155 B
            11. Milestone Project 1 Supervised Learning (Classification)/2.3 End-to-end Heart Disease Classification Notebook (with annotations).html
                201 B
            11. Milestone Project 1 Supervised Learning (Classification)/20. Finding The Most Important Features.mp4
                128 MB
            11. Milestone Project 1 Supervised Learning (Classification)/20. Finding The Most Important Features.srt
                22 kB
            11. Milestone Project 1 Supervised Learning (Classification)/21. Reviewing The Project.mp4
                86 MB
            11. Milestone Project 1 Supervised Learning (Classification)/21. Reviewing The Project.srt
                14 kB
            11. Milestone Project 1 Supervised Learning (Classification)/21.1 End-to-end Heart Disease Classification Notebook (with annotations).html
                201 B
            11. Milestone Project 1 Supervised Learning (Classification)/21.2 End-to-end Heart Disease Classification Notebook (same as in videos).html
                207 B
            11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.mp4
                101 MB
            11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.srt
                14 kB
            11. Milestone Project 1 Supervised Learning (Classification)/4. Step 1~4 Framework Setup.mp4
                106 MB
            11. Milestone Project 1 Supervised Learning (Classification)/4. Step 1~4 Framework Setup.srt
                17 kB
            11. Milestone Project 1 Supervised Learning (Classification)/5. Getting Our Tools Ready.mp4
                79 MB
            11. Milestone Project 1 Supervised Learning (Classification)/5. Getting Our Tools Ready.srt
                13 kB
            11. Milestone Project 1 Supervised Learning (Classification)/6. Exploring Our Data.mp4
                67 MB
            11. Milestone Project 1 Supervised Learning (Classification)/6. Exploring Our Data.srt
                11 kB
            11. Milestone Project 1 Supervised Learning (Classification)/6.1 heart-disease.csv.csv
                11 kB
            11. Milestone Project 1 Supervised Learning (Classification)/7. Finding Patterns.mp4
                63 MB
            11. Milestone Project 1 Supervised Learning (Classification)/7. Finding Patterns.srt
                13 kB
            11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns 2.mp4
                100 MB
            11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns 2.srt
                22 kB
            11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4
                138 MB
            11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.srt
                19 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.mp4
                8.9 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.srt
                1.8 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Categorical Values.mp4
                67 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Categorical Values.srt
                11 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Fitting A Machine Learning Model.mp4
                56 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Fitting A Machine Learning Model.srt
                10 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Splitting Data.mp4
                83 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Splitting Data.srt
                14 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/13. Custom Evaluation Function.mp4
                103 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/13. Custom Evaluation Function.srt
                16 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Reducing Data.mp4
                94 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Reducing Data.srt
                15 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/15. RandomizedSearchCV.mp4
                86 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/15. RandomizedSearchCV.srt
                13 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/16. Improving Hyperparameters.mp4
                79 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/16. Improving Hyperparameters.srt
                11 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4
                139 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.srt
                18 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Making Predictions.mp4
                79 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Making Predictions.srt
                11 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4
                142 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.srt
                17 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/19.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html
                208 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/19.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html
                214 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.mp4
                33 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.srt
                6.7 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2.1 Kaggle Bluebook for Bulldozers Competition.html
                118 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2.2 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html
                208 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2.3 Structured Data Projects on GitHub.html
                155 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/2.4 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html
                214 B
            12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Project Environment Setup.mp4
                101 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Project Environment Setup.srt
                16 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Step 1~4 Framework Setup.mp4
                86 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Step 1~4 Framework Setup.srt
                12 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4
                138 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.srt
                20 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data 2.mp4
                52 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data 2.srt
                8.6 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4
                159 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.srt
                22 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4
                146 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.srt
                22 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Filling Missing Numerical Values.mp4
                106 MB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Filling Missing Numerical Values.srt
                17 kB
            12. Milestone Project 2 Supervised Learning (Time Series Data)/9.1 Pandas Categorical Datatype Documentation.html
                143 B
            13. Data Engineering/1. Data Engineering Introduction.mp4
                14 MB
            13. Data Engineering/1. Data Engineering Introduction.srt
                4.3 kB
            13. Data Engineering/10. Optional Learn SQL.html
                410 B
            13. Data Engineering/11. Hadoop, HDFS and MapReduce.mp4
                10 MB
            13. Data Engineering/11. Hadoop, HDFS and MapReduce.srt
                4.7 kB
            13. Data Engineering/12. Apache Spark and Apache Flink.mp4
                5.8 MB
            13. Data Engineering/12. Apache Spark and Apache Flink.srt
                2.3 kB
            13. Data Engineering/13. Kafka and Stream Processing.mp4
                19 MB
            13. Data Engineering/13. Kafka and Stream Processing.srt
                5.0 kB
            13. Data Engineering/2. What Is Data.mp4
                42 MB
            13. Data Engineering/2. What Is Data.srt
                7.6 kB
            13. Data Engineering/2.1 Kaggle.html
                92 B
            13. Data Engineering/3. What Is A Data Engineer.mp4
                15 MB
            13. Data Engineering/3. What Is A Data Engineer.srt
                4.9 kB
            13. Data Engineering/4. What Is A Data Engineer 2.mp4
                24 MB
            13. Data Engineering/4. What Is A Data Engineer 2.srt
                6.3 kB
            13. Data Engineering/5. What Is A Data Engineer 3.mp4
                24 MB
            13. Data Engineering/5. What Is A Data Engineer 3.srt
                5.4 kB
            13. Data Engineering/6. What Is A Data Engineer 4.mp4
                15 MB
            13. Data Engineering/6. What Is A Data Engineer 4.srt
                3.9 kB
            13. Data Engineering/7. Types Of Databases.mp4
                33 MB
            13. Data Engineering/7. Types Of Databases.srt
                8.4 kB
            13. Data Engineering/7.1 OLTP vs OLAP.html
                126 B
            13. Data Engineering/7.2 A Primer on ACID Transactions.html
                117 B
            13. Data Engineering/8. Quick Note Upcoming Video.html
                481 B
            13. Data Engineering/9. Optional OLTP Databases.mp4
                80 MB
            13. Data Engineering/9. Optional OLTP Databases.srt
                12 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.mp4
                12 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.srt
                2.8 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.mp4
                28 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.srt
                4.5 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html
                129 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.mp4
                81 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.srt
                12 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11.1 Google Colab example GPU usage.html
                114 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.mp4
                46 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.srt
                6.0 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.1 Google Colab Example of GPU speed up versus CPU.html
                114 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.2 Introduction to Google Colab example notebook.html
                116 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.mp4
                89 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.srt
                7.8 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.mp4
                115 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.srt
                16 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14.1 Documentation on how many images Google recommends for image problems.html
                129 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.mp4
                134 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.srt
                15 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.mp4
                108 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.srt
                14 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.mp4
                66 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.srt
                11 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html
                108 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.mp4
                90 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.srt
                13 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.1 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html
                98 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.2 Documentation for loading images in TensorFlow.html
                114 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.mp4
                105 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.srt
                13 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.mp4
                102 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.srt
                20 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.mp4
                88 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.srt
                12 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4
                149 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.srt
                20 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html
                118 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.mp4
                122 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.srt
                16 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.mp4
                50 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.srt
                7.8 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html
                79 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/24. Optional How machines learn and what's going on behind the scenes.html
                2.7 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.mp4
                122 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.srt
                16 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.1 Andrei Karpathy's talk on AI at Tesla.html
                95 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.2 PyTorch Hub (PyTorch version of TensorFlow Hub).html
                85 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.3 Papers with Code (a great resource for some of the best machine learning papers with code examples).html
                88 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.4 TensorFlow Hub (resource for pre-trained deep learning models and more).html
                79 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.5 MobileNetV2 (the model we're using) on TensorFlow Hub.html
                132 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.mp4
                106 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.srt
                12 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26.1 Keras in TensorFlow Overview Documentation.html
                108 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.mp4
                106 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.srt
                11 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.1 The Softmax Function (activation function we use in our model).html
                107 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.2 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html
                172 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html
                163 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.mp4
                86 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.srt
                12 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28.1 [Article] How to choose loss & activation functions when building a deep learning model.html
                169 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.mp4
                45 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.srt
                6.0 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/3. Setting Up With Google.html
                568 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.mp4
                79 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.srt
                10 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30.1 TensorBoard Callback Documentation.html
                134 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.mp4
                36 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.srt
                5.5 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html
                136 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4
                167 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.srt
                23 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.mp4
                74 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.srt
                9.6 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4
                155 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.srt
                19 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.mp4
                130 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.srt
                18 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35.1 TensorFlow documentation for the unbatch() function.html
                127 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.mp4
                119 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.srt
                17 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4
                144 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.srt
                18 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate  Model Predictions 3.mp4
                113 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate  Model Predictions 3.srt
                14 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.mp4
                127 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.srt
                17 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.mp4
                74 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.srt
                9.6 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.1 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html
                119 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.2 Google Colab (our workspace for the upcoming project).html
                95 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.3 Introduction to Google Colab example notebook.html
                116 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.4 Google Colab IO example (how to get data in and out of your Colab notebook).html
                113 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.5 End-to-end Dog Vision Notebook (the project we'll be working through).html
                182 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4
                140 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.srt
                19 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4
                141 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41.1 Dog Vision Prediction Probabilities Array.html
                170 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42. Submitting Model to Kaggle.mp4
                121 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html
                180 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43. Making Predictions On Our Images.mp4
                119 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.1 End-to-end Dog Vision Notebook (with annotations).html
                185 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.2 End-to-end Dog Vision Notebook (from the videos).html
                191 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/44. Finishing Dog Vision Where to next.html
                3.9 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.mp4
                40 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.srt
                6.3 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.1 Google Colab FAQ (things you should know about Google Colab).html
                110 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.2 Google Colab (our workspace for the upcoming project).html
                95 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.mp4
                52 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.srt
                8.6 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.1 Kaggle Dog Breed Identification Competition Data.html
                115 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html
                113 B
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.mp4
                42 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.srt
                6.4 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.mp4
                21 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.srt
                2.2 kB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.mp4
                117 MB
            14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.srt
                17 kB
            15. UPLOADED BY FEB 14th Storytelling + Communication How To Present Your Projects/1. Section Overview.mp4
                11 MB
            15. UPLOADED BY FEB 14th Storytelling + Communication How To Present Your Projects/1. Section Overview.srt
                3.3 kB
            15. UPLOADED BY FEB 14th Storytelling + Communication How To Present Your Projects/2. Videos uploaded by FEB 14th.html
                203 B
            16. Career Advice + Extra Bits/1. Endorsements On LinkedIn.html
                688 B
            16. Career Advice + Extra Bits/10. CWD Git + Github 2.mp4
                118 MB
            16. Career Advice + Extra Bits/10. CWD Git + Github 2.srt
                18 kB
            16. Career Advice + Extra Bits/11. Contributing To Open Source.mp4
                130 MB
            16. Career Advice + Extra Bits/11. Contributing To Open Source.srt
                17 kB
            16. Career Advice + Extra Bits/12. Contributing To Open Source 2.mp4
                113 MB
            16. Career Advice + Extra Bits/12. Contributing To Open Source 2.srt
                10 kB
            16. Career Advice + Extra Bits/13. Coding Challenges.html
                948 B
            16. Career Advice + Extra Bits/14. Exercise Contribute To Open Source.html
                1.4 kB
            16. Career Advice + Extra Bits/2. Quick Note Upcoming Video.html
                587 B
            16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4
                161 MB
            16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.srt
                20 kB
            16. Career Advice + Extra Bits/4. Learning Guideline.html
                310 B
            16. Career Advice + Extra Bits/5. Quick Note Upcoming Videos.html
                565 B
            16. Career Advice + Extra Bits/6. JTS Learn to Learn.mp4
                11 MB
            16. Career Advice + Extra Bits/6. JTS Learn to Learn.srt
                2.5 kB
            16. Career Advice + Extra Bits/7. JTS Start With Why.mp4
                15 MB
            16. Career Advice + Extra Bits/7. JTS Start With Why.srt
                3.0 kB
            16. Career Advice + Extra Bits/8. Quick Note Upcoming Videos.html
                352 B
            16. Career Advice + Extra Bits/9. CWD Git + Github.mp4
                176 MB
            16. Career Advice + Extra Bits/9. CWD Git + Github.srt
                21 kB
            17. Learn Python/1. What Is A Programming Language.mp4
                105 MB
            17. Learn Python/1. What Is A Programming Language.srt
                7.0 kB
            17. Learn Python/10. Numbers.mp4
                73 MB
            17. Learn Python/10. Numbers.srt
                11 kB
            17. Learn Python/10.1 Floating point numbers.html
                104 B
            17. Learn Python/11. Math Functions.mp4
                42 MB
            17. Learn Python/11. Math Functions.srt
                5.4 kB
            17. Learn Python/12. DEVELOPER FUNDAMENTALS I.mp4
                60 MB
            17. Learn Python/12. DEVELOPER FUNDAMENTALS I.srt
                5.2 kB
            17. Learn Python/13. Operator Precedence.mp4
                14 MB
            17. Learn Python/13. Operator Precedence.srt
                3.5 kB
            17. Learn Python/13.1 Exercise Repl.html
                106 B
            17. Learn Python/14. Exercise Operator Precedence.html
                683 B
            17. Learn Python/14.1 Exercise Repl.html
                106 B
            17. Learn Python/15. Optional bin() and complex.mp4
                22 MB
            17. Learn Python/15. Optional bin() and complex.srt
                4.8 kB
            17. Learn Python/15.1 Base Numbers.html
                111 B
            17. Learn Python/16. Variables.mp4
                94 MB
            17. Learn Python/16. Variables.srt
                16 kB
            17. Learn Python/16.1 Python Keywords.html
                117 B
            17. Learn Python/17. Expressions vs Statements.mp4
                11 MB
            17. Learn Python/17. Expressions vs Statements.srt
                1.7 kB
            17. Learn Python/18. Augmented Assignment Operator.mp4
                15 MB
            17. Learn Python/18. Augmented Assignment Operator.srt
                3.0 kB
            17. Learn Python/18.1 Exercise Repl.html
                116 B
            17. Learn Python/19. Strings.mp4
                31 MB
            17. Learn Python/19. Strings.srt
                6.3 kB
            17. Learn Python/2. Python Interpreter.mp4
                94 MB
            17. Learn Python/2. Python Interpreter.srt
                8.3 kB
            17. Learn Python/20. String Concatenation.mp4
                7.3 MB
            17. Learn Python/20. String Concatenation.srt
                1.4 kB
            17. Learn Python/21. Type Conversion.mp4
                19 MB
            17. Learn Python/21. Type Conversion.srt
                3.1 kB
            17. Learn Python/22. Escape Sequences.mp4
                23 MB
            17. Learn Python/22. Escape Sequences.srt
                5.0 kB
            17. Learn Python/23. Formatted Strings.mp4
                49 MB
            17. Learn Python/23. Formatted Strings.srt
                8.8 kB
            17. Learn Python/23.1 Exercise Repl.html
                104 B
            17. Learn Python/24. String Indexes.mp4
                49 MB
            17. Learn Python/24. String Indexes.srt
                9.2 kB
            17. Learn Python/24.1 Exercise Repl.html
                101 B
            17. Learn Python/25. Immutability.mp4
                21 MB
            17. Learn Python/25. Immutability.srt
                3.5 kB
            17. Learn Python/26. Built-In Functions + Methods.mp4
                69 MB
            17. Learn Python/26. Built-In Functions + Methods.srt
                10 kB
            17. Learn Python/26.1 String Methods.html
                115 B
            17. Learn Python/26.2 Built in Functions.html
                109 B
            17. Learn Python/27. Booleans.mp4
                16 MB
            17. Learn Python/27. Booleans.srt
                3.9 kB
            17. Learn Python/28. Exercise Type Conversion.mp4
                50 MB
            17. Learn Python/28. Exercise Type Conversion.srt
                8.6 kB
            17. Learn Python/29. DEVELOPER FUNDAMENTALS II.mp4
                29 MB
            17. Learn Python/29. DEVELOPER FUNDAMENTALS II.srt
                5.3 kB
            17. Learn Python/29.1 Python Comments Best Practices.html
                106 B
            17. Learn Python/3. How To Run Python Code.mp4
                64 MB
            17. Learn Python/3. How To Run Python Code.srt
                6.5 kB
            17. Learn Python/30. Exercise Password Checker.mp4
                51 MB
            17. Learn Python/30. Exercise Password Checker.srt
                7.9 kB
            17. Learn Python/31. Lists.mp4
                22 MB
            17. Learn Python/31. Lists.srt
                5.6 kB
            17. Learn Python/32. List Slicing.mp4
                50 MB
            17. Learn Python/32. List Slicing.srt
                8.5 kB
            17. Learn Python/32.1 Exercise Repl.html
                92 B
            17. Learn Python/33. Matrix.mp4
                19 MB
            17. Learn Python/33. Matrix.srt
                4.1 kB
            17. Learn Python/33.1 Exercise Repl.html
                93 B
            17. Learn Python/34. List Methods.mp4
                62 MB
            17. Learn Python/34. List Methods.srt
                11 kB
            17. Learn Python/34.1 List Methods.html
                113 B
            17. Learn Python/35. List Methods 2.mp4
                27 MB
            17. Learn Python/35. List Methods 2.srt
                4.5 kB
            17. Learn Python/35.1 Exercise Repl.html
                94 B
            17. Learn Python/35.2 Python Keywords.html
                117 B
            17. Learn Python/36. List Methods 3.mp4
                28 MB
            17. Learn Python/36. List Methods 3.srt
                5.0 kB
            17. Learn Python/37. Common List Patterns.mp4
                40 MB
            17. Learn Python/37. Common List Patterns.srt
                5.8 kB
            17. Learn Python/37.1 Exercise Repl.html
                94 B
            17. Learn Python/38. List Unpacking.mp4
                14 MB
            17. Learn Python/38. List Unpacking.srt
                2.9 kB
            17. Learn Python/39. None.mp4
                7.9 MB
            17. Learn Python/39. None.srt
                2.2 kB
            17. Learn Python/4. Our First Python Program.mp4
                47 MB
            17. Learn Python/4. Our First Python Program.srt
                9.0 kB
            17. Learn Python/40. Dictionaries.mp4
                33 MB
            17. Learn Python/40. Dictionaries.srt
                7.1 kB
            17. Learn Python/41. DEVELOPER FUNDAMENTALS III.mp4
                27 MB
            17. Learn Python/41. DEVELOPER FUNDAMENTALS III.srt
                3.6 kB
            17. Learn Python/42. Dictionary Keys.mp4
                20 MB
            17. Learn Python/42. Dictionary Keys.srt
                4.2 kB
            17. Learn Python/43. Dictionary Methods.mp4
                27 MB
            17. Learn Python/43. Dictionary Methods.srt
                5.3 kB
            17. Learn Python/43.1 Dictionary Methods.html
                119 B
            17. Learn Python/44. Dictionary Methods 2.mp4
                42 MB
            17. Learn Python/44. Dictionary Methods 2.srt
                7.1 kB
            17. Learn Python/44.1 Exercise Repl.html
                97 B
            17. Learn Python/45. Tuples.mp4
                26 MB
            17. Learn Python/45. Tuples.srt
                5.7 kB
            17. Learn Python/46. Tuples 2.mp4
                17 MB
            17. Learn Python/46. Tuples 2.srt
                3.1 kB
            17. Learn Python/46.1 Tuple Methods.html
                114 B
            17. Learn Python/47. Sets.mp4
                37 MB
            17. Learn Python/47. Sets.srt
                8.4 kB
            17. Learn Python/48. Sets 2.mp4
                64 MB
            17. Learn Python/48. Sets 2.srt
                9.2 kB
            17. Learn Python/48.1 Exercise Repl.html
                91 B
            17. Learn Python/48.2 Sets Methods.html
                112 B
            17. Learn Python/5. Python 2 vs Python 3.mp4
                82 MB
            17. Learn Python/5. Python 2 vs Python 3.srt
                8.2 kB
            17. Learn Python/5.1 The Story of Python.html
                104 B
            17. Learn Python/5.2 Python 2 vs Python 3.html
                161 B
            17. Learn Python/6. Exercise How Does Python Work.mp4
                26 MB
            17. Learn Python/6. Exercise How Does Python Work.srt
                2.9 kB
            17. Learn Python/7. Learning Python.mp4
                38 MB
            17. Learn Python/7. Learning Python.srt
                2.6 kB
            17. Learn Python/8. Python Data Types.mp4
                29 MB
            17. Learn Python/8. Python Data Types.srt
                5.2 kB
            17. Learn Python/9. How To Succeed.html
                280 B
            18. Learn Python Part 2/1. Breaking The Flow.mp4
                20 MB
            18. Learn Python Part 2/1. Breaking The Flow.srt
                3.0 kB
            18. Learn Python Part 2/10. For Loops.mp4
                34 MB
            18. Learn Python Part 2/10. For Loops.srt
                7.5 kB
            18. Learn Python Part 2/11. Iterables.mp4
                43 MB
            18. Learn Python Part 2/11. Iterables.srt
                6.9 kB
            18. Learn Python Part 2/12. Exercise Tricky Counter.mp4
                16 MB
            18. Learn Python Part 2/12. Exercise Tricky Counter.srt
                3.6 kB
            18. Learn Python Part 2/12.1 Solution Repl.html
                92 B
            18. Learn Python Part 2/13. range().mp4
                28 MB
            18. Learn Python Part 2/13. range().srt
                5.9 kB
            18. Learn Python Part 2/14. enumerate().mp4
                25 MB
            18. Learn Python Part 2/14. enumerate().srt
                4.6 kB
            18. Learn Python Part 2/15. While Loops.mp4
                28 MB
            18. Learn Python Part 2/15. While Loops.srt
                7.4 kB
            18. Learn Python Part 2/16. While Loops 2.mp4
                26 MB
            18. Learn Python Part 2/16. While Loops 2.srt
                6.4 kB
            18. Learn Python Part 2/17. break, continue, pass.mp4
                22 MB
            18. Learn Python Part 2/17. break, continue, pass.srt
                5.3 kB
            18. Learn Python Part 2/18. Our First GUI.mp4
                50 MB
            18. Learn Python Part 2/18. Our First GUI.srt
                10 kB
            18. Learn Python Part 2/18.1 Solution Repl.html
                99 B
            18. Learn Python Part 2/18.2 Exercise Repl.html
                99 B
            18. Learn Python Part 2/19. DEVELOPER FUNDAMENTALS IV.mp4
                50 MB
            18. Learn Python Part 2/19. DEVELOPER FUNDAMENTALS IV.srt
                7.8 kB
            18. Learn Python Part 2/2. Conditional Logic.mp4
                75 MB
            18. Learn Python Part 2/2. Conditional Logic.srt
                16 kB
            18. Learn Python Part 2/20. Exercise Find Duplicates.mp4
                20 MB
            18. Learn Python Part 2/20. Exercise Find Duplicates.srt
                4.4 kB
            18. Learn Python Part 2/20.1 Solution Repl.html
                102 B
            18. Learn Python Part 2/21. Functions.mp4
                49 MB
            18. Learn Python Part 2/21. Functions.srt
                9.2 kB
            18. Learn Python Part 2/22. Parameters and Arguments.mp4
                23 MB
            18. Learn Python Part 2/22. Parameters and Arguments.srt
                4.9 kB
            18. Learn Python Part 2/23. Default Parameters and Keyword Arguments.mp4
                38 MB
            18. Learn Python Part 2/23. Default Parameters and Keyword Arguments.srt
                6.0 kB
            18. Learn Python Part 2/24. return.mp4
                63 MB
            18. Learn Python Part 2/24. return.srt
                15 kB
            18. Learn Python Part 2/25. Exercise Tesla.html
                402 B
            18. Learn Python Part 2/26. Methods vs Functions.mp4
                31 MB
            18. Learn Python Part 2/26. Methods vs Functions.srt
                5.2 kB
            18. Learn Python Part 2/27. Docstrings.mp4
                17 MB
            18. Learn Python Part 2/27. Docstrings.srt
                4.3 kB
            18. Learn Python Part 2/28. Clean Code.mp4
                20 MB
            18. Learn Python Part 2/28. Clean Code.srt
                5.4 kB
            18. Learn Python Part 2/29. args and kwargs.mp4
                43 MB
            18. Learn Python Part 2/29. args and kwargs.srt
                8.1 kB
            18. Learn Python Part 2/3. Indentation In Python.mp4
                28 MB
            18. Learn Python Part 2/3. Indentation In Python.srt
                5.3 kB
            18. Learn Python Part 2/30. Exercise Functions.mp4
                22 MB
            18. Learn Python Part 2/30. Exercise Functions.srt
                4.7 kB
            18. Learn Python Part 2/30.1 Solution Repl.html
                108 B
            18. Learn Python Part 2/31. Scope.mp4
                20 MB
            18. Learn Python Part 2/31. Scope.srt
                3.8 kB
            18. Learn Python Part 2/32. Scope Rules.mp4
                38 MB
            18. Learn Python Part 2/32. Scope Rules.srt
                8.5 kB
            18. Learn Python Part 2/33. global Keyword.mp4
                36 MB
            18. Learn Python Part 2/33. global Keyword.srt
                6.7 kB
            18. Learn Python Part 2/34. nonlocal Keyword.mp4
                18 MB
            18. Learn Python Part 2/34. nonlocal Keyword.srt
                4.1 kB
            18. Learn Python Part 2/34.1 Solution Repl.html
                95 B
            18. Learn Python Part 2/35. Why Do We Need Scope.mp4
                19 MB
            18. Learn Python Part 2/35. Why Do We Need Scope.srt
                4.8 kB
            18. Learn Python Part 2/36. Pure Functions.mp4
                67 MB
            18. Learn Python Part 2/36. Pure Functions.srt
                10 kB
            18. Learn Python Part 2/37. map().mp4
                38 MB
            18. Learn Python Part 2/37. map().srt
                6.3 kB
            18. Learn Python Part 2/38. filter().mp4
                24 MB
            18. Learn Python Part 2/38. filter().srt
                5.0 kB
            18. Learn Python Part 2/39. zip().mp4
                21 MB
            18. Learn Python Part 2/39. zip().srt
                3.3 kB
            18. Learn Python Part 2/4. Truthy vs Falsey.mp4
                43 MB
            18. Learn Python Part 2/4. Truthy vs Falsey.srt
                6.0 kB
            18. Learn Python Part 2/4.1 Truthy vs Falsey Stackoverflow.html
                170 B
            18. Learn Python Part 2/40. reduce().mp4
                52 MB
            18. Learn Python Part 2/40. reduce().srt
                8.4 kB
            18. Learn Python Part 2/41. List Comprehensions.mp4
                53 MB
            18. Learn Python Part 2/41. List Comprehensions.srt
                9.4 kB
            18. Learn Python Part 2/42. Set Comprehensions.mp4
                35 MB
            18. Learn Python Part 2/42. Set Comprehensions.srt
                6.6 kB
            18. Learn Python Part 2/43. Exercise Comprehensions.mp4
                22 MB
            18. Learn Python Part 2/43. Exercise Comprehensions.srt
                4.9 kB
            18. Learn Python Part 2/43.1 Solution Repl.html
                102 B
            18. Learn Python Part 2/43.2 Exercise Repl.html
                100 B
            18. Learn Python Part 2/44. Python Exam Testing Your Understanding.html
                1.1 kB
            18. Learn Python Part 2/45. Modules in Python.mp4
                82 MB
            18. Learn Python Part 2/45. Modules in Python.srt
                13 kB
            18. Learn Python Part 2/46. Quick Note Upcoming Videos.html
                448 B
            18. Learn Python Part 2/47. Optional PyCharm.mp4
                53 MB
            18. Learn Python Part 2/47. Optional PyCharm.srt
                10 kB
            18. Learn Python Part 2/48. Packages in Python.mp4
                72 MB
            18. Learn Python Part 2/48. Packages in Python.srt
                12 kB
            18. Learn Python Part 2/49. Different Ways To Import.mp4
                48 MB
            18. Learn Python Part 2/49. Different Ways To Import.srt
                7.5 kB
            18. Learn Python Part 2/5. Ternary Operator.mp4
                20 MB
            18. Learn Python Part 2/5. Ternary Operator.srt
                4.8 kB
            18. Learn Python Part 2/50. Next Steps.html
                959 B
            18. Learn Python Part 2/6. Short Circuiting.mp4
                19 MB
            18. Learn Python Part 2/6. Short Circuiting.srt
                4.5 kB
            18. Learn Python Part 2/7. Logical Operators.mp4
                28 MB
            18. Learn Python Part 2/7. Logical Operators.srt
                8.1 kB
            18. Learn Python Part 2/8. Exercise Logical Operators.mp4
                47 MB
            18. Learn Python Part 2/8. Exercise Logical Operators.srt
                8.4 kB
            18. Learn Python Part 2/9. is vs ==.mp4
                34 MB
            18. Learn Python Part 2/9. is vs ==.srt
                8.1 kB
            19. Bonus Learn Advanced Statistics and Mathematics for FREE!/1. Statistics and Mathematics.html
                710 B
            2. Machine Learning 101/1. What Is Machine Learning.mp4
                28 MB
            2. Machine Learning 101/1. What Is Machine Learning.srt
                8.7 kB
            2. Machine Learning 101/2. AIMachine LearningData Science.mp4
                20 MB
            2. Machine Learning 101/2. AIMachine LearningData Science.srt
                6.4 kB
            2. Machine Learning 101/3. Exercise Machine Learning Playground.mp4
                43 MB
            2. Machine Learning 101/3. Exercise Machine Learning Playground.srt
                8.1 kB
            2. Machine Learning 101/3.1 Teachable Machine.html
                101 B
            2. Machine Learning 101/4. How Did We Get Here.mp4
                30 MB
            2. Machine Learning 101/4. How Did We Get Here.srt
                7.1 kB
            2. Machine Learning 101/5. Exercise YouTube Recommendation Engine.mp4
                19 MB
            2. Machine Learning 101/5. Exercise YouTube Recommendation Engine.srt
                5.7 kB
            2. Machine Learning 101/5.1 Machine Learning Playground.html
                88 B
            2. Machine Learning 101/6. Types of Machine Learning.mp4
                23 MB
            2. Machine Learning 101/6. Types of Machine Learning.srt
                5.3 kB
            2. Machine Learning 101/7. Are You Getting It Yet.html
                160 B
            2. Machine Learning 101/8. What Is Machine Learning Round 2.mp4
                26 MB
            2. Machine Learning 101/8. What Is Machine Learning Round 2.srt
                6.1 kB
            2. Machine Learning 101/9. Section Review.mp4
                5.6 MB
            2. Machine Learning 101/9. Section Review.srt
                2.3 kB
            20. Where To Go From Here/1. Become An Alumni.html
                944 B
            20. Where To Go From Here/2. Thank You.mp4
                11 MB
            20. Where To Go From Here/2. Thank You.srt
                3.6 kB
            21. Extras/1. Bonus Special Thank You Gift.html
                1.6 kB
            3. Machine Learning and Data Science Framework/1. Section Overview.mp4
                13 MB
            3. Machine Learning and Data Science Framework/1. Section Overview.srt
                4.7 kB
            3. Machine Learning and Data Science Framework/10. Modelling - Tuning.mp4
                16 MB
            3. Machine Learning and Data Science Framework/10. Modelling - Tuning.srt
                4.9 kB
            3. Machine Learning and Data Science Framework/11. Modelling - Comparison.mp4
                45 MB
            3. Machine Learning and Data Science Framework/11. Modelling - Comparison.srt
                13 kB
            3. Machine Learning and Data Science Framework/12. Experimentation.mp4
                21 MB
            3. Machine Learning and Data Science Framework/12. Experimentation.srt
                5.0 kB
            3. Machine Learning and Data Science Framework/13. Tools We Will Use.mp4
                27 MB
            3. Machine Learning and Data Science Framework/13. Tools We Will Use.srt
                6.0 kB
            3. Machine Learning and Data Science Framework/14. Optional Elements of AI.html
                975 B
            3. Machine Learning and Data Science Framework/2. Introducing Our Framework.mp4
                11 MB
            3. Machine Learning and Data Science Framework/2. Introducing Our Framework.srt
                3.7 kB
            3. Machine Learning and Data Science Framework/3. 6 Step Machine Learning Framework.mp4
                24 MB
            3. Machine Learning and Data Science Framework/3. 6 Step Machine Learning Framework.srt
                6.6 kB
            3. Machine Learning and Data Science Framework/3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html
                147 B
            3. Machine Learning and Data Science Framework/4. Types of Machine Learning Problems.mp4
                60 MB
            3. Machine Learning and Data Science Framework/4. Types of Machine Learning Problems.srt
                14 kB
            3. Machine Learning and Data Science Framework/5. Types of Data.mp4
                29 MB
            3. Machine Learning and Data Science Framework/5. Types of Data.srt
                6.5 kB
            3. Machine Learning and Data Science Framework/6. Types of Evaluation.mp4
                18 MB
            3. Machine Learning and Data Science Framework/6. Types of Evaluation.srt
                4.3 kB
            3. Machine Learning and Data Science Framework/7. Features In Data.mp4
                37 MB
            3. Machine Learning and Data Science Framework/7. Features In Data.srt
                6.8 kB
            3. Machine Learning and Data Science Framework/8. Modelling - Splitting Data.mp4
                28 MB
            3. Machine Learning and Data Science Framework/8. Modelling - Splitting Data.srt
                7.7 kB
            3. Machine Learning and Data Science Framework/9. Modelling - Picking the Model.mp4
                23 MB
            3. Machine Learning and Data Science Framework/9. Modelling - Picking the Model.srt
                6.2 kB
            4. The 2 Paths/1. The 2 Paths.mp4
                9.7 MB
            4. The 2 Paths/1. The 2 Paths.srt
                4.7 kB
            4. The 2 Paths/2. Python Developer Monthly.html
                476 B
            5. Data Science Environment Setup/1. Section Overview.mp4
                6.0 MB
            5. Data Science Environment Setup/1. Section Overview.srt
                2.1 kB
            5. Data Science Environment Setup/10. Jupyter Notebook Walkthrough.mp4
                67 MB
            5. Data Science Environment Setup/10. Jupyter Notebook Walkthrough.srt
                15 kB
            5. Data Science Environment Setup/10.1 Dataquest Jupyter Notebook for Beginners Tutorial.html
                117 B
            5. Data Science Environment Setup/10.2 Jupyter Notebook documentation.html
                111 B
            5. Data Science Environment Setup/10.3 heart-disease.csv.csv
                11 kB
            5. Data Science Environment Setup/11. Jupyter Notebook Walkthrough 2.mp4
                104 MB
            5. Data Science Environment Setup/11. Jupyter Notebook Walkthrough 2.srt
                22 kB
            5. Data Science Environment Setup/12. Jupyter Notebook Walkthrough 3.mp4
                71 MB
            5. Data Science Environment Setup/12. Jupyter Notebook Walkthrough 3.srt
                12 kB
            5. Data Science Environment Setup/2. Introducing Our Tools.mp4
                19 MB
            5. Data Science Environment Setup/2. Introducing Our Tools.srt
                4.3 kB
            5. Data Science Environment Setup/3. What is Conda.mp4
                12 MB
            5. Data Science Environment Setup/3. What is Conda.srt
                3.4 kB
            5. Data Science Environment Setup/3.1 Getting your computer ready for machine learning How, what and why you should use Anaconda, Miniconda and Conda (blog post).html
                167 B
            5. Data Science Environment Setup/3.2 Getting started with Conda (documentation).html
                139 B
            5. Data Science Environment Setup/3.3 Conda documentation.html
                93 B
            5. Data Science Environment Setup/3.4 conda-cheatsheet.pdf.pdf
                201 kB
            5. Data Science Environment Setup/4. Conda Environments.mp4
                31 MB
            5. Data Science Environment Setup/4. Conda Environments.srt
                6.1 kB
            5. Data Science Environment Setup/5. Mac Environment Setup.mp4
                144 MB
            5. Data Science Environment Setup/5. Mac Environment Setup.srt
                24 kB
            5. Data Science Environment Setup/5.1 Miniconda download documentation.html
                107 B
            5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4
                126 MB
            5. Data Science Environment Setup/6. Mac Environment Setup 2.srt
                21 kB
            5. Data Science Environment Setup/7. Windows Environment Setup.mp4
                48 MB
            5. Data Science Environment Setup/7. Windows Environment Setup.srt
                7.6 kB
            5. Data Science Environment Setup/7.1 Miniconda download documentation.html
                107 B
            5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4
                228 MB
            5. Data Science Environment Setup/8. Windows Environment Setup 2.srt
                32 kB
            5. Data Science Environment Setup/9. Linux Environment Setup.html
                1.0 kB
            6. Pandas Data Analysis/1. Section Overview.mp4
                11 MB
            6. Pandas Data Analysis/1. Section Overview.srt
                3.7 kB
            6. Pandas Data Analysis/10. Manipulating Data 2.mp4
                86 MB
            6. Pandas Data Analysis/10. Manipulating Data 2.srt
                14 kB
            6. Pandas Data Analysis/10.1 pandas-anatomy-of-a-dataframe.png.png
                333 kB
            6. Pandas Data Analysis/11. Manipulating Data 3.mp4
                91 MB
            6. Pandas Data Analysis/11. Manipulating Data 3.srt
                14 kB
            6. Pandas Data Analysis/11.1 Introduction to Pandas Jupyter Notebook (from the videos).html
                191 B
            6. Pandas Data Analysis/11.2 Introduction to Pandas Jupyter Notebook (with annotations).html
                185 B
            6. Pandas Data Analysis/12. Assignment Pandas Practice.html
                2.1 kB
            6. Pandas Data Analysis/13. How To Download The Course Assignments.mp4
                67 MB
            6. Pandas Data Analysis/13. How To Download The Course Assignments.srt
                11 kB
            6. Pandas Data Analysis/13.1 Course notebooks - Github.html
                108 B
            6. Pandas Data Analysis/13.2 Google Colab.html
                95 B
            6. Pandas Data Analysis/2. Downloading Workbooks and Assignments.html
                774 B
            6. Pandas Data Analysis/3. Pandas Introduction.mp4
                27 MB
            6. Pandas Data Analysis/3.1 Pandas Documentation.html
                106 B
            6. Pandas Data Analysis/3.2 10-minutes to pandas (from the pandas documentation).html
                132 B
            6. Pandas Data Analysis/3.3 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html
                191 B
            6. Pandas Data Analysis/3.4 Introduction to Pandas Jupyter Notebook (with annotations).html
                185 B
            6. Pandas Data Analysis/4. Series, Data Frames and CSVs.mp4
                95 MB
            6. Pandas Data Analysis/4. Series, Data Frames and CSVs.srt
                17 kB
            6. Pandas Data Analysis/4.1 pandas-anatomy-of-a-dataframe.png.png
                333 kB
            6. Pandas Data Analysis/5. Data from URLs.html
                1.1 kB
            6. Pandas Data Analysis/6. Describing Data with Pandas.mp4
                76 MB
            6. Pandas Data Analysis/6. Describing Data with Pandas.srt
                14 kB
            6. Pandas Data Analysis/7. Selecting and Viewing Data with Pandas.mp4
                72 MB
            6. Pandas Data Analysis/7. Selecting and Viewing Data with Pandas.srt
                15 kB
            6. Pandas Data Analysis/7.1 car-sales.csv.csv
                369 B
            6. Pandas Data Analysis/8. Selecting and Viewing Data with Pandas Part 2.mp4
                106 MB
            6. Pandas Data Analysis/8. Selecting and Viewing Data with Pandas Part 2.srt
                18 kB
            6. Pandas Data Analysis/9. Manipulating Data.mp4
                105 MB
            6. Pandas Data Analysis/9. Manipulating Data.srt
                18 kB
            6. Pandas Data Analysis/9.1 car-sales-extended-missing-data.csv.csv
                30 kB
            6. Pandas Data Analysis/9.2 Jake VanderPlas's Data Manipulation with Pandas.html
                146 B
            7. NumPy/1. Section Overview.mp4
                13 MB
            7. NumPy/1. Section Overview.srt
                3.1 kB
            7. NumPy/10. Standard Deviation and Variance.mp4
                51 MB
            7. NumPy/10. Standard Deviation and Variance.srt
                9.3 kB
            7. NumPy/10.1 Standard deviation and variance explained.html
                116 B
            7. NumPy/11. Reshape and Transpose.mp4
                54 MB
            7. NumPy/11. Reshape and Transpose.srt
                9.5 kB
            7. NumPy/12. Dot Product vs Element Wise.mp4
                84 MB
            7. NumPy/12. Dot Product vs Element Wise.srt
                15 kB
            7. NumPy/12.1 Matrix Multiplication Explained.html
                119 B
            7. NumPy/13. Exercise Nut Butter Store Sales.mp4
                91 MB
            7. NumPy/13. Exercise Nut Butter Store Sales.srt
                17 kB
            7. NumPy/14. Comparison Operators.mp4
                26 MB
            7. NumPy/14. Comparison Operators.srt
                5.3 kB
            7. NumPy/15. Sorting Arrays.mp4
                33 MB
            7. NumPy/15. Sorting Arrays.srt
                8.8 kB
            7. NumPy/16. Turn Images Into NumPy Arrays.mp4
                86 MB
            7. NumPy/16. Turn Images Into NumPy Arrays.srt
                10 kB
            7. NumPy/16.1 numpy-images.zip.zip
                7.3 MB
            7. NumPy/16.2 Introduction to NumPy Jupyter Notebook (from the videos).html
                190 B
            7. NumPy/16.3 Introduction to NumPy Jupyter Notebook (with annotations).html
                184 B
            7. NumPy/17. Assignment NumPy Practice.html
                2.2 kB
            7. NumPy/18. Optional Extra NumPy resources.html
                1.0 kB
            7. NumPy/2. NumPy Introduction.mp4
                27 MB
            7. NumPy/2. NumPy Introduction.srt
                7.5 kB
            7. NumPy/2.1 NumPy Documentation.html
                83 B
            7. NumPy/2.2 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html
                190 B
            7. NumPy/2.3 Introduction to NumPy Jupyter Notebook (with annotations).html
                184 B
            7. NumPy/3. Quick Note Correction In Next Video.html
                1.2 kB
            7. NumPy/4. NumPy DataTypes and Attributes.mp4
                79 MB
            7. NumPy/4. NumPy DataTypes and Attributes.srt
                19 kB
            7. NumPy/5. Creating NumPy Arrays.mp4
                67 MB
            7. NumPy/5. Creating NumPy Arrays.srt
                12 kB
            7. NumPy/6. NumPy Random Seed.mp4
                52 MB
            7. NumPy/6. NumPy Random Seed.srt
                9.7 kB
            7. NumPy/7. Viewing Arrays and Matrices.mp4
                71 MB
            7. NumPy/7. Viewing Arrays and Matrices.srt
                13 kB
            7. NumPy/8. Manipulating Arrays.mp4
                81 MB
            7. NumPy/8. Manipulating Arrays.srt
                16 kB
            7. NumPy/8.1 Standard deviation and variance explained.html
                116 B
            7. NumPy/9. Manipulating Arrays 2.mp4
                68 MB
            7. NumPy/9. Manipulating Arrays 2.srt
                12 kB
            7. NumPy/9.1 Standard deviation and variance explained.html
                116 B
            8. Matplotlib + Seaborn Plotting and Data Visualization/1. Section Overview.mp4
                8.6 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/1. Section Overview.srt
                2.7 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/10. Quick Note Regular Expressions.html
                632 B
            8. Matplotlib + Seaborn Plotting and Data Visualization/11. Plotting From Pandas DataFrames 2.mp4
                99 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/11. Plotting From Pandas DataFrames 2.srt
                14 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/12. Plotting from Pandas DataFrames 3.mp4
                75 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/12. Plotting from Pandas DataFrames 3.srt
                12 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/13. Plotting from Pandas DataFrames 4.mp4
                49 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/13. Plotting from Pandas DataFrames 4.srt
                9.4 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/13.1 heart-disease.csv.csv
                11 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/14. Plotting from Pandas DataFrames 5.mp4
                57 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/14. Plotting from Pandas DataFrames 5.srt
                12 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/15. Plotting from Pandas DataFrames 6.mp4
                82 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/15. Plotting from Pandas DataFrames 6.srt
                11 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/16. Plotting from Pandas DataFrames 7.mp4
                120 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/16. Plotting from Pandas DataFrames 7.srt
                15 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/17. Customizing Your Plots.mp4
                92 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/17. Customizing Your Plots.srt
                14 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/18. Customizing Your Plots 2.mp4
                124 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/18. Customizing Your Plots 2.srt
                13 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/19. Saving And Sharing Your Plots.mp4
                50 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/19. Saving And Sharing Your Plots.srt
                5.8 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/19.1 Introduction to Matplotlib Notebook (from the videos).html
                195 B
            8. Matplotlib + Seaborn Plotting and Data Visualization/2. Matplotlib Introduction.mp4
                32 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/2. Matplotlib Introduction.srt
                8.0 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/2.1 Matplotlib Documentation.html
                103 B
            8. Matplotlib + Seaborn Plotting and Data Visualization/2.2 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html
                195 B
            8. Matplotlib + Seaborn Plotting and Data Visualization/20. Assignment Matplotlib Practice.html
                2.1 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/3. Importing And Using Matplotlib.mp4
                86 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/3. Importing And Using Matplotlib.srt
                16 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/4. Anatomy Of A Matplotlib Figure.mp4
                82 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/4. Anatomy Of A Matplotlib Figure.srt
                14 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/4.1 matplotlib-anatomy-of-a-plot.png.png
                369 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/4.2 matplotlib-anatomy-of-a-plot-with-code.png.png
                655 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/5. Scatter Plot And Bar Plot.mp4
                67 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/5. Scatter Plot And Bar Plot.srt
                15 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/6. Histograms And Subplots.mp4
                70 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/6. Histograms And Subplots.srt
                12 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/7. Subplots Option 2.mp4
                38 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/7. Subplots Option 2.srt
                6.4 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/8. Quick Tip Data Visualizations.mp4
                12 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/8. Quick Tip Data Visualizations.srt
                2.3 kB
            8. Matplotlib + Seaborn Plotting and Data Visualization/9. Plotting From Pandas DataFrames.mp4
                60 MB
            8. Matplotlib + Seaborn Plotting and Data Visualization/9. Plotting From Pandas DataFrames.srt
                9.0 kB
            9. Scikit-learn Creating Machine Learning Models/1. Section Overview.mp4
                12 MB
            9. Scikit-learn Creating Machine Learning Models/1. Section Overview.srt
                4.1 kB
            9. Scikit-learn Creating Machine Learning Models/10. Quick Tip Clean, Transform, Reduce.mp4
                16 MB
            9. Scikit-learn Creating Machine Learning Models/10. Quick Tip Clean, Transform, Reduce.srt
                6.4 kB
            9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4
                135 MB
            9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.srt
                23 kB
            9. Scikit-learn Creating Machine Learning Models/12. Getting Your Data Ready Handling Missing Values With Pandas.mp4
                105 MB
            9. Scikit-learn Creating Machine Learning Models/12. Getting Your Data Ready Handling Missing Values With Pandas.srt
                17 kB
            9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4
                137 MB
            9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt
                23 kB
            9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4
                143 MB
            9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.srt
                21 kB
            9. Scikit-learn Creating Machine Learning Models/14.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html
                133 B
            9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data 2 (Regression).mp4
                87 MB
            9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data 2 (Regression).srt
                12 kB
            9. Scikit-learn Creating Machine Learning Models/16. Quick Note Decision Trees.html
                221 B
            9. Scikit-learn Creating Machine Learning Models/17. Quick Tip How ML Algorithms Work.mp4
                11 MB
            9. Scikit-learn Creating Machine Learning Models/17. Quick Tip How ML Algorithms Work.srt
                1.9 kB
            9. Scikit-learn Creating Machine Learning Models/18. Choosing The Right Model For Your Data 3 (Classification).mp4
                119 MB
            9. Scikit-learn Creating Machine Learning Models/18. Choosing The Right Model For Your Data 3 (Classification).srt
                17 kB
            9. Scikit-learn Creating Machine Learning Models/19. Fitting A Model To The Data.mp4
                57 MB
            9. Scikit-learn Creating Machine Learning Models/19. Fitting A Model To The Data.srt
                9.3 kB
            9. Scikit-learn Creating Machine Learning Models/2. Scikit-learn Introduction.mp4
                41 MB
            9. Scikit-learn Creating Machine Learning Models/2. Scikit-learn Introduction.srt
                11 kB
            9. Scikit-learn Creating Machine Learning Models/2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html
                197 B
            9. Scikit-learn Creating Machine Learning Models/2.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html
                191 B
            9. Scikit-learn Creating Machine Learning Models/2.3 Scikit-Learn Documentation.html
                108 B
            9. Scikit-learn Creating Machine Learning Models/20. Making Predictions With Our Model.mp4
                66 MB
            9. Scikit-learn Creating Machine Learning Models/20. Making Predictions With Our Model.srt
                12 kB
            9. Scikit-learn Creating Machine Learning Models/21. predict() vs predict_proba().mp4
                54 MB
            9. Scikit-learn Creating Machine Learning Models/21. predict() vs predict_proba().srt
                12 kB
            9. Scikit-learn Creating Machine Learning Models/22. Making Predictions With Our Model (Regression).mp4
                45 MB
            9. Scikit-learn Creating Machine Learning Models/22. Making Predictions With Our Model (Regression).srt
                9.1 kB
            9. Scikit-learn Creating Machine Learning Models/23. Evaluating A Machine Learning Model (Score).mp4
                87 MB
            9. Scikit-learn Creating Machine Learning Models/23. Evaluating A Machine Learning Model (Score).srt
                13 kB
            9. Scikit-learn Creating Machine Learning Models/24. Evaluating A Machine Learning Model 2 (Cross Validation).mp4
                96 MB
            9. Scikit-learn Creating Machine Learning Models/24. Evaluating A Machine Learning Model 2 (Cross Validation).srt
                17 kB
            9. Scikit-learn Creating Machine Learning Models/25. Evaluating A Classification Model 1 (Accuracy).mp4
                31 MB
            9. Scikit-learn Creating Machine Learning Models/25. Evaluating A Classification Model 1 (Accuracy).srt
                5.9 kB
            9. Scikit-learn Creating Machine Learning Models/26. Evaluating A Classification Model 2 (ROC Curve).mp4
                66 MB
            9. Scikit-learn Creating Machine Learning Models/26. Evaluating A Classification Model 2 (ROC Curve).srt
                12 kB
            9. Scikit-learn Creating Machine Learning Models/27. Evaluating A Classification Model 3 (ROC Curve).mp4
                51 MB
            9. Scikit-learn Creating Machine Learning Models/27. Evaluating A Classification Model 3 (ROC Curve).srt
                10 kB
            9. Scikit-learn Creating Machine Learning Models/28. Evaluating A Classification Model 4 (Confusion Matrix).mp4
                78 MB
            9. Scikit-learn Creating Machine Learning Models/28. Evaluating A Classification Model 4 (Confusion Matrix).srt
                15 kB
            9. Scikit-learn Creating Machine Learning Models/29. Evaluating A Classification Model 5 (Confusion Matrix).mp4
                64 MB
            9. Scikit-learn Creating Machine Learning Models/29. Evaluating A Classification Model 5 (Confusion Matrix).srt
                11 kB
            9. Scikit-learn Creating Machine Learning Models/3. Quick Note Upcoming Video.html
                390 B
            9. Scikit-learn Creating Machine Learning Models/30. Evaluating A Classification Model 6 (Classification Report).mp4
                87 MB
            9. Scikit-learn Creating Machine Learning Models/30. Evaluating A Classification Model 6 (Classification Report).srt
                15 kB
            9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Regression Model 1 (R2 Score).mp4
                70 MB
            9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Regression Model 1 (R2 Score).srt
                12 kB
            9. Scikit-learn Creating Machine Learning Models/32. Evaluating A Regression Model 2 (MAE).mp4
                28 MB
            9. Scikit-learn Creating Machine Learning Models/32. Evaluating A Regression Model 2 (MAE).srt
                5.7 kB
            9. Scikit-learn Creating Machine Learning Models/33. Evaluating A Regression Model 3 (MSE).mp4
                55 MB
            9. Scikit-learn Creating Machine Learning Models/33. Evaluating A Regression Model 3 (MSE).srt
                9.2 kB
            9. Scikit-learn Creating Machine Learning Models/34. Machine Learning Model Evaluation.html
                7.1 kB
            9. Scikit-learn Creating Machine Learning Models/35. Evaluating A Model With Cross Validation and Scoring Parameter.mp4
                92 MB
            9. Scikit-learn Creating Machine Learning Models/35. Evaluating A Model With Cross Validation and Scoring Parameter.srt
                18 kB
            9. Scikit-learn Creating Machine Learning Models/36. Evaluating A Model With Scikit-learn Functions.mp4
                95 MB
            9. Scikit-learn Creating Machine Learning Models/36. Evaluating A Model With Scikit-learn Functions.srt
                16 kB
            9. Scikit-learn Creating Machine Learning Models/37. Improving A Machine Learning Model.mp4
                91 MB
            9. Scikit-learn Creating Machine Learning Models/37. Improving A Machine Learning Model.srt
                15 kB
            9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4
                176 MB
            9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.srt
                30 kB
            9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters 2.mp4
                117 MB
            9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters 2.srt
                17 kB
            9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.mp4
                88 MB
            9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.srt
                6.3 kB
            9. Scikit-learn Creating Machine Learning Models/40. Tuning Hyperparameters 3.mp4
                122 MB
            9. Scikit-learn Creating Machine Learning Models/40. Tuning Hyperparameters 3.srt
                19 kB
            9. Scikit-learn Creating Machine Learning Models/41. Quick Tip Correlation Analysis.mp4
                17 MB
            9. Scikit-learn Creating Machine Learning Models/41. Quick Tip Correlation Analysis.srt
                3.1 kB
            9. Scikit-learn Creating Machine Learning Models/42. Saving And Loading A Model.mp4
                53 MB
            9. Scikit-learn Creating Machine Learning Models/42. Saving And Loading A Model.srt
                9.8 kB
            9. Scikit-learn Creating Machine Learning Models/43. Saving And Loading A Model 2.mp4
                57 MB
            9. Scikit-learn Creating Machine Learning Models/43. Saving And Loading A Model 2.srt
                9.0 kB
            9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4
                158 MB
            9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.srt
                26 kB
            9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together 2.mp4
                117 MB
            9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together 2.srt
                16 kB
            9. Scikit-learn Creating Machine Learning Models/45.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html
                197 B
            9. Scikit-learn Creating Machine Learning Models/45.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html
                191 B
            9. Scikit-learn Creating Machine Learning Models/46. Scikit-Learn Practice.html
                2.1 kB
            9. Scikit-learn Creating Machine Learning Models/5. Quick Note Upcoming Videos.html
                1018 B
            9. Scikit-learn Creating Machine Learning Models/6. Scikit-learn Cheatsheet.mp4
                75 MB
            9. Scikit-learn Creating Machine Learning Models/6. Scikit-learn Cheatsheet.srt
                10 kB
            9. Scikit-learn Creating Machine Learning Models/6.1 Scikit-Learn Reference Notebook.html
                194 B
            9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4
                190 MB
            9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.srt
                32 kB
            9. Scikit-learn Creating Machine Learning Models/7.1 Example Scikit-Learn Workflow Notebook.html
                192 B
            9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4
                176 MB
            9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.srt
                26 kB
            9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.mp4
                64 MB
            9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.srt
                12 kB