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[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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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. Getting Started/1. Introduction.mp4
60 MB
1. Getting Started/1. Introduction.srt
4.7 kB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].mp4
21 MB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].srt
6.0 kB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4
123 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].srt
18 kB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
20 MB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.srt
4.0 kB
1. Getting Started/3. Installation Getting Started.html
1.2 kB
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4
101 MB
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.srt
17 kB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4
94 MB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.srt
14 kB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4
83 MB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.srt
15 kB
1. Getting Started/7. Python Basics, Part 1 [Optional].mp4
33 MB
1. Getting Started/7. Python Basics, Part 1 [Optional].srt
7.8 kB
1. Getting Started/8. [Activity] Python Basics, Part 2 [Optional].mp4
21 MB
1. Getting Started/8. [Activity] Python Basics, Part 2 [Optional].srt
7.6 kB
1. Getting Started/9. [Activity] Python Basics, Part 3 [Optional].mp4
10 MB
1. Getting Started/9. [Activity] Python Basics, Part 3 [Optional].srt
4.2 kB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
74 MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.srt
22 kB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.mp4
88 MB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.srt
21 kB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).mp4
93 MB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).srt
20 kB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.mp4
70 MB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.srt
14 kB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).mp4
69 MB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).srt
18 kB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.mp4
81 MB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.srt
17 kB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4
115 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.srt
22 kB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4
18 MB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.srt
8.3 kB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.mp4
34 MB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.srt
12 kB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4
128 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.srt
20 kB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.mp4
39 MB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.srt
3.1 kB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4
80 MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.srt
19 kB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4
142 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt
20 kB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4
64 MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.srt
17 kB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
64 MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.srt
20 kB
10. Deep Learning and Neural Networks/6. Important note about Tensorflow 2.html
644 B
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4
118 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.srt
23 kB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4
105 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.srt
21 kB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.mp4
92 MB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.srt
24 kB
11. Final Project/1. Your final project assignment Mammogram Classification.mp4
52 MB
11. Final Project/1. Your final project assignment Mammogram Classification.srt
12 kB
11. Final Project/2. Final project review.mp4
98 MB
11. Final Project/2. Final project review.srt
24 kB
12. You made it!/1. More to Explore.mp4
64 MB
12. You made it!/1. More to Explore.srt
7.2 kB
12. You made it!/2. Don't Forget to Leave a Rating!.html
564 B
12. You made it!/3. Bonus Lecture More courses to explore!.html
7.4 kB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).mp4
77 MB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).srt
16 kB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4
117 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.srt
26 kB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4
125 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.srt
28 kB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4
22 MB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.srt
4.0 kB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.mp4
59 MB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.srt
12 kB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4
56 MB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.srt
13 kB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.mp4
62 MB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.srt
15 kB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4
111 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.srt
26 kB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.mp4
30 MB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.srt
7.6 kB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).mp4
75 MB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).srt
16 kB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4
114 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.srt
28 kB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4
129 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.srt
29 kB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4
148 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.srt
30 kB
3. Predictive Models/1. [Activity] Linear Regression.mp4
100 MB
3. Predictive Models/1. [Activity] Linear Regression.srt
26 kB
3. Predictive Models/2. [Activity] Polynomial Regression.mp4
67 MB
3. Predictive Models/2. [Activity] Polynomial Regression.srt
18 kB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.mp4
74 MB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.srt
21 kB
3. Predictive Models/4. Multi-Level Models.mp4
48 MB
3. Predictive Models/4. Multi-Level Models.srt
11 kB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
99 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.srt
21 kB
4. Machine Learning with Python/10. [Activity] LINUX Installing Graphviz.mp4
7.0 MB
4. Machine Learning with Python/10. [Activity] LINUX Installing Graphviz.srt
1.1 kB
4. Machine Learning with Python/11. Decision Trees Concepts.mp4
86 MB
4. Machine Learning with Python/11. Decision Trees Concepts.srt
21 kB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4
96 MB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.srt
22 kB
4. Machine Learning with Python/13. Ensemble Learning.mp4
65 MB
4. Machine Learning with Python/13. Ensemble Learning.srt
14 kB
4. Machine Learning with Python/14. [Activity] XGBoost.mp4
102 MB
4. Machine Learning with Python/14. [Activity] XGBoost.srt
27 kB
4. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.mp4
45 MB
4. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.srt
9.9 kB
4. Machine Learning with Python/16. [Activity] Using SVM to cluster people using scikit-learn.mp4
47 MB
4. Machine Learning with Python/16. [Activity] Using SVM to cluster people using scikit-learn.srt
17 kB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
58 MB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.srt
13 kB
4. Machine Learning with Python/3. Bayesian Methods Concepts.mp4
41 MB
4. Machine Learning with Python/3. Bayesian Methods Concepts.srt
8.8 kB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
89 MB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.srt
17 kB
4. Machine Learning with Python/5. K-Means Clustering.mp4
72 MB
4. Machine Learning with Python/5. K-Means Clustering.srt
17 kB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp4
57 MB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.srt
12 kB
4. Machine Learning with Python/7. Measuring Entropy.mp4
35 MB
4. Machine Learning with Python/7. Measuring Entropy.srt
6.9 kB
4. Machine Learning with Python/8. [Activity] WINDOWS Installing Graphviz.mp4
2.1 MB
4. Machine Learning with Python/8. [Activity] WINDOWS Installing Graphviz.srt
689 B
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.mp4
15 MB
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.srt
1.3 kB
5. Recommender Systems/1. User-Based Collaborative Filtering.mp4
86 MB
5. Recommender Systems/1. User-Based Collaborative Filtering.srt
19 kB
5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
75 MB
5. Recommender Systems/2. Item-Based Collaborative Filtering.srt
20 kB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4
108 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.srt
20 kB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4
95 MB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.srt
17 kB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4
133 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.srt
23 kB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4
84 MB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.srt
13 kB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
40 MB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.srt
8.9 kB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
142 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.srt
28 kB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis (PCA).mp4
68 MB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis (PCA).srt
12 kB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
110 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.srt
21 kB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
103 MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.srt
20 kB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
132 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.srt
28 kB
6. More Data Mining and Machine Learning Techniques/6.1 Pac-Man Example.html
145 B
6. More Data Mining and Machine Learning Techniques/6.2 Python Markov Decision Process Toolbox.html
119 B
6. More Data Mining and Machine Learning Techniques/6.3 Cat and Mouse Example.html
140 B
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4
78 MB
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt
22 kB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4
15 MB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.srt
9.7 kB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4
25 MB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt
10 kB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
66 MB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.srt
14 kB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4
48 MB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.srt
14 kB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
76 MB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.srt
16 kB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
79 MB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.srt
17 kB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
129 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.srt
24 kB
7. Dealing with Real-World Data/5. Normalizing numerical data.mp4
38 MB
7. Dealing with Real-World Data/5. Normalizing numerical data.srt
7.7 kB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp4
36 MB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.srt
11 kB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4
42 MB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.srt
12 kB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4
49 MB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.srt
14 kB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4
36 MB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.srt
9.9 kB
8. Apache Spark Machine Learning on Big Data/1. Warning about Java 11 and Spark 3!.html
602 B
8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4
69 MB
8. Apache Spark Machine Learning on Big Data/10. TF IDF.srt
14 kB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4
103 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.srt
13 kB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4
106 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.srt
14 kB
8. Apache Spark Machine Learning on Big Data/2. Spark installation notes for MacOS and Linux users.html
3.6 kB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.mp4
84 MB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.srt
12 kB
8. Apache Spark Machine Learning on Big Data/3.1 winutils.exe.html
108 B
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
112 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.srt
11 kB
8. Apache Spark Machine Learning on Big Data/4.1 winutils.exe.html
108 B
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4
90 MB
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.srt
21 kB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4
98 MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).srt
24 kB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.mp4
55 MB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.srt
12 kB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4
134 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.srt
28 kB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
118 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.srt
18 kB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4
33 MB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.srt
15 kB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
98 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.srt
20 kB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4
65 MB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.srt
13 kB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4
82 MB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.srt
14 kB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4
35 MB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.srt
8.3 kB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
96 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.srt
22 kB