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Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)

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File Name
Size
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4
102 MB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4
96 MB
01. Getting Started/7. Activity LINUX Installing and Using Anaconda & Course Materials.mp4
60 MB
01. Getting Started/12. Introducing the Pandas Library Optional.mp4
44 MB
01. Getting Started/8. Python Basics, Part 1 Optional.mp4
27 MB
01. Getting Started/9. Activity Python Basics, Part 2 Optional.mp4
21 MB
01. Getting Started/1. Introduction.mp4
19 MB
01. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
17 MB
01. Getting Started/11. Activity Python Basics, Part 4 Optional.mp4
5.7 MB
01. Getting Started/10. Activity Python Basics, Part 3 Optional.mp4
2.4 MB
01. Getting Started/12. Introducing the Pandas Library Optional.vtt
18 kB
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.vtt
17 kB
01. Getting Started/7. Activity LINUX Installing and Using Anaconda & Course Materials.vtt
15 kB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.vtt
14 kB
01. Getting Started/8. Python Basics, Part 1 Optional.vtt
7.9 kB
01. Getting Started/9. Activity Python Basics, Part 2 Optional.vtt
7.8 kB
01. Getting Started/11. Activity Python Basics, Part 4 Optional.vtt
6.0 kB
01. Getting Started/1. Introduction.vtt
5.1 kB
01. Getting Started/10. Activity Python Basics, Part 3 Optional.vtt
4.4 kB
01. Getting Started/2. Udemy 101 Getting the Most From This Course.vtt
4.1 kB
01. Getting Started/4. Installation Getting Started.html
1.2 kB
01. Getting Started/3. Important note.html
575 B
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4
103 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4
96 MB
02. Statistics and Probability Refresher, and Python Practice/11. Exercise Conditional Probability.mp4
94 MB
02. Statistics and Probability Refresher, and Python Practice/8. Activity A Crash Course in matplotlib.mp4
89 MB
02. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).mp4
73 MB
02. Statistics and Probability Refresher, and Python Practice/10. Activity Covariance and Correlation.mp4
70 MB
02. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.mp4
56 MB
02. Statistics and Probability Refresher, and Python Practice/3. Activity Using mean, median, and mode in Python.mp4
44 MB
02. Statistics and Probability Refresher, and Python Practice/7. Activity Percentiles and Moments.mp4
43 MB
02. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).mp4
28 MB
02. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4
16 MB
02. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4
15 MB
02. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function Probability Mass Function.mp4
6.9 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.vtt
30 kB
02. Statistics and Probability Refresher, and Python Practice/11. Exercise Conditional Probability.vtt
28 kB
02. Statistics and Probability Refresher, and Python Practice/7. Activity Percentiles and Moments.vtt
22 kB
02. Statistics and Probability Refresher, and Python Practice/10. Activity Covariance and Correlation.vtt
20 kB
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.vtt
19 kB
02. Statistics and Probability Refresher, and Python Practice/8. Activity A Crash Course in matplotlib.vtt
19 kB
02. Statistics and Probability Refresher, and Python Practice/3. Activity Using mean, median, and mode in Python.vtt
16 kB
02. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).vtt
12 kB
02. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).vtt
12 kB
02. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.vtt
9.7 kB
02. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.vtt
8.7 kB
02. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function Probability Mass Function.vtt
6.0 kB
02. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.vtt
4.0 kB
03. Predictive Models/3. Activity Multiple Regression, and Predicting Car Prices.mp4
94 MB
03. Predictive Models/1. Activity Linear Regression.mp4
93 MB
03. Predictive Models/2. Activity Polynomial Regression.mp4
60 MB
03. Predictive Models/4. Multi-Level Models.mp4
27 MB
03. Predictive Models/3. Activity Multiple Regression, and Predicting Car Prices.vtt
28 kB
03. Predictive Models/1. Activity Linear Regression.vtt
20 kB
03. Predictive Models/2. Activity Polynomial Regression.vtt
13 kB
03. Predictive Models/4. Multi-Level Models.vtt
8.2 kB
04. Machine Learning with Python/11. Decision Trees Concepts.mp4
82 MB
04. Machine Learning with Python/4. Activity Implementing a Spam Classifier with Naive Bayes.mp4
81 MB
04. Machine Learning with Python/14. Activity XGBoost.mp4
79 MB
04. Machine Learning with Python/12. Activity Decision Trees Predicting Hiring Decisions.mp4
58 MB
04. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
57 MB
04. Machine Learning with Python/16. Activity Using SVM to cluster people using scikit-learn.mp4
38 MB
04. Machine Learning with Python/13. Ensemble Learning.mp4
37 MB
04. Machine Learning with Python/5. K-Means Clustering.mp4
26 MB
04. Machine Learning with Python/6. Activity Clustering people based on income and age.mp4
22 MB
04. Machine Learning with Python/2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
22 MB
04. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.mp4
16 MB
04. Machine Learning with Python/7. Measuring Entropy.mp4
12 MB
04. Machine Learning with Python/3. Bayesian Methods Concepts.mp4
9.8 MB
04. Machine Learning with Python/9. Activity MAC Installing Graphviz.mp4
9.1 MB
04. Machine Learning with Python/10. Activity LINUX Installing Graphviz.mp4
2.5 MB
04. Machine Learning with Python/8. Activity WINDOWS Installing Graphviz.mp4
949 kB
04. Machine Learning with Python/14. Activity XGBoost.vtt
28 kB
04. Machine Learning with Python/12. Activity Decision Trees Predicting Hiring Decisions.vtt
17 kB
04. Machine Learning with Python/16. Activity Using SVM to cluster people using scikit-learn.vtt
17 kB
04. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.vtt
16 kB
04. Machine Learning with Python/11. Decision Trees Concepts.vtt
16 kB
04. Machine Learning with Python/4. Activity Implementing a Spam Classifier with Naive Bayes.vtt
14 kB
04. Machine Learning with Python/5. K-Means Clustering.vtt
13 kB
04. Machine Learning with Python/13. Ensemble Learning.vtt
11 kB
04. Machine Learning with Python/2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt
9.9 kB
04. Machine Learning with Python/6. Activity Clustering people based on income and age.vtt
9.2 kB
04. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.vtt
7.9 kB
04. Machine Learning with Python/3. Bayesian Methods Concepts.vtt
6.8 kB
04. Machine Learning with Python/7. Measuring Entropy.vtt
5.4 kB
04. Machine Learning with Python/9. Activity MAC Installing Graphviz.vtt
1.5 kB
04. Machine Learning with Python/10. Activity LINUX Installing Graphviz.vtt
1.1 kB
04. Machine Learning with Python/8. Activity WINDOWS Installing Graphviz.vtt
745 B
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4
124 MB
05. Recommender Systems/3. Activity Finding Movie Similarities using Cosine Similarity.mp4
83 MB
05. Recommender Systems/1. User-Based Collaborative Filtering.mp4
82 MB
05. Recommender Systems/4. Activity Improving the Results of Movie Similarities.mp4
56 MB
05. Recommender Systems/6. Exercise Improve the recommender's results.mp4
28 MB
05. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
23 MB
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.vtt
17 kB
05. Recommender Systems/3. Activity Finding Movie Similarities using Cosine Similarity.vtt
15 kB
05. Recommender Systems/2. Item-Based Collaborative Filtering.vtt
15 kB
05. Recommender Systems/1. User-Based Collaborative Filtering.vtt
14 kB
05. Recommender Systems/4. Activity Improving the Results of Movie Similarities.vtt
13 kB
05. Recommender Systems/6. Exercise Improve the recommender's results.vtt
10 kB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
125 MB
06. More Data Mining and Machine Learning Techniques/2. Activity Using KNN to predict a rating for a movie.mp4
86 MB
06. More Data Mining and Machine Learning Techniques/4. Activity PCA Example with the Iris data set.mp4
66 MB
06. More Data Mining and Machine Learning Techniques/7. Activity Reinforcement Learning & Q-Learning with Gym.mp4
63 MB
06. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
59 MB
06. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction Principal Component Analysis (PCA).mp4
38 MB
06. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
14 MB
06. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4
12 MB
06. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4
7.4 MB
06. More Data Mining and Machine Learning Techniques/7. Activity Reinforcement Learning & Q-Learning with Gym.vtt
22 kB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.vtt
21 kB
06. More Data Mining and Machine Learning Techniques/2. Activity Using KNN to predict a rating for a movie.vtt
20 kB
06. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.vtt
15 kB
06. More Data Mining and Machine Learning Techniques/4. Activity PCA Example with the Iris data set.vtt
15 kB
06. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).vtt
11 kB
06. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.vtt
9.7 kB
06. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction Principal Component Analysis (PCA).vtt
9.7 kB
06. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.vtt
6.6 kB
07. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
73 MB
07. Dealing with Real-World Data/2. Activity K-Fold Cross-Validation to avoid overfitting.mp4
57 MB
07. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4
43 MB
07. Dealing with Real-World Data/4. Activity Cleaning web log data.mp4
31 MB
07. Dealing with Real-World Data/6. Activity Detecting outliers.mp4
27 MB
07. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
24 MB
07. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4
18 MB
07. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4
17 MB
07. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4
15 MB
07. Dealing with Real-World Data/5. Normalizing numerical data.mp4
10 MB
07. Dealing with Real-World Data/4. Activity Cleaning web log data.vtt
18 kB
07. Dealing with Real-World Data/2. Activity K-Fold Cross-Validation to avoid overfitting.vtt
17 kB
07. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.vtt
14 kB
07. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.vtt
14 kB
07. Dealing with Real-World Data/3. Data Cleaning and Normalization.vtt
13 kB
07. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.vtt
12 kB
07. Dealing with Real-World Data/6. Activity Detecting outliers.vtt
11 kB
07. Dealing with Real-World Data/1. BiasVariance Tradeoff.vtt
11 kB
07. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.vtt
9.9 kB
07. Dealing with Real-World Data/5. Normalizing numerical data.vtt
6.1 kB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4
141 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4
134 MB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4
116 MB
08. Apache Spark Machine Learning on Big Data/10. Activity Searching Wikipedia with Spark.mp4
84 MB
08. Apache Spark Machine Learning on Big Data/9. TF IDF.mp4
66 MB
08. Apache Spark Machine Learning on Big Data/11. Activity Using the Spark DataFrame API for MLLib.mp4
65 MB
08. Apache Spark Machine Learning on Big Data/4. Spark Introduction.mp4
25 MB
08. Apache Spark Machine Learning on Big Data/5. Spark and the Resilient Distributed Dataset (RDD).mp4
22 MB
08. Apache Spark Machine Learning on Big Data/6. Introducing MLLib.mp4
15 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.vtt
28 kB
08. Apache Spark Machine Learning on Big Data/5. Spark and the Resilient Distributed Dataset (RDD).vtt
20 kB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.vtt
18 kB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.vtt
18 kB
08. Apache Spark Machine Learning on Big Data/4. Spark Introduction.vtt
16 kB
08. Apache Spark Machine Learning on Big Data/10. Activity Searching Wikipedia with Spark.vtt
13 kB
08. Apache Spark Machine Learning on Big Data/11. Activity Using the Spark DataFrame API for MLLib.vtt
13 kB
08. Apache Spark Machine Learning on Big Data/9. TF IDF.vtt
11 kB
08. Apache Spark Machine Learning on Big Data/6. Introducing MLLib.vtt
8.7 kB
08. Apache Spark Machine Learning on Big Data/2. Spark installation notes for MacOS and Linux users.html
3.2 kB
08. Apache Spark Machine Learning on Big Data/1. Warning about Java 21+ and Spark 3!.html
1.0 kB
09. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
92 MB
09. Experimental Design ML in the Real World/4. Activity Hands-on With T-Tests.mp4
48 MB
09. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
32 MB
09. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4
17 MB
09. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4
14 MB
09. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4
9.7 MB
09. Experimental Design ML in the Real World/6. AB Test Gotchas.vtt
17 kB
09. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.vtt
16 kB
09. Experimental Design ML in the Real World/2. AB Testing Concepts.vtt
16 kB
09. Experimental Design ML in the Real World/4. Activity Hands-on With T-Tests.vtt
10 kB
09. Experimental Design ML in the Real World/3. T-Tests and P-Values.vtt
10 kB
09. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.vtt
6.4 kB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4
120 MB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4
111 MB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4
108 MB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4
95 MB
10. Deep Learning and Neural Networks/13. Activity Using a RNN for sentiment analysis.mp4
74 MB
10. Deep Learning and Neural Networks/8. Activity Introducing Keras.mp4
72 MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
70 MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4
69 MB
10. Deep Learning and Neural Networks/9. Activity Using Keras to Predict Political Affiliations.mp4
67 MB
10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).mp4
59 MB
10. Deep Learning and Neural Networks/3. Activity Deep Learning in the Tensorflow Playground.mp4
56 MB
10. Deep Learning and Neural Networks/11. Activity Using CNN's for handwriting recognition.mp4
53 MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
47 MB
10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).mp4
33 MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4
31 MB
10. Deep Learning and Neural Networks/16. Deep Learning Regularization with Dropout and Early Stopping.mp4
20 MB
10. Deep Learning and Neural Networks/15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4
8.5 MB
10. Deep Learning and Neural Networks/8. Activity Introducing Keras.vtt
24 kB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.vtt
23 kB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.vtt
22 kB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.vtt
22 kB
10. Deep Learning and Neural Networks/9. Activity Using Keras to Predict Political Affiliations.vtt
21 kB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.vtt
21 kB
10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).vtt
21 kB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.vtt
21 kB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.vtt
21 kB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.vtt
20 kB
10. Deep Learning and Neural Networks/3. Activity Deep Learning in the Tensorflow Playground.vtt
20 kB
10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).vtt
19 kB
10. Deep Learning and Neural Networks/4. Deep Learning Details.vtt
18 kB
10. Deep Learning and Neural Networks/13. Activity Using a RNN for sentiment analysis.vtt
17 kB
10. Deep Learning and Neural Networks/11. Activity Using CNN's for handwriting recognition.vtt
14 kB
10. Deep Learning and Neural Networks/16. Deep Learning Regularization with Dropout and Early Stopping.vtt
12 kB
10. Deep Learning and Neural Networks/15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.vtt
8.6 kB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4
149 MB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4
126 MB
11. Generative Models/4. Generative Adversarial Networks (GAN's) - Playing with some demos.mp4
89 MB
11. Generative Models/1. Variational Auto-Encoders (VAE's) - how they work.mp4
43 MB
11. Generative Models/6. Learning More about Deep Learning.mp4
20 MB
11. Generative Models/3. Generative Adversarial Networks (GAN's) - How they work.mp4
15 MB
11. Generative Models/5. GAN_on_Fashion_MNIST.ipynb
3.7 MB
11. Generative Models/2. VariationalAutoEncoders.ipynb
1.3 MB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.vtt
45 kB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.vtt
27 kB
11. Generative Models/4. Generative Adversarial Networks (GAN's) - Playing with some demos.vtt
18 kB
11. Generative Models/1. Variational Auto-Encoders (VAE's) - how they work.vtt
18 kB
11. Generative Models/3. Generative Adversarial Networks (GAN's) - How they work.vtt
13 kB
11. Generative Models/6. Learning More about Deep Learning.vtt
3.2 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/11. Activity Fine Tuning GPT with the IMDb dataset.mp4
85 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/10. Activity Using small and large GPT models within Google CoLab and HuggingFace.mp4
69 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Activity Tokenization with Google CoLab and HuggingFace.mp4
68 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4
51 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4
42 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4
30 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/4. How GPT Works, Part 1 The GPT Transformer Architecture.mp4
30 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4
28 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/1. The Transformer Architecture (encoders, decoders, and self-attention.).mp4
20 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4
15 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/3. Applications of Transformers (GPT).mp4
9.6 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Transformers_MLCourse.ipynb
6.7 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/8. Activity Positional Encoding.mp4
6.5 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/6. Fine Tuning Transfer Learning with Transformers.mp4
5.0 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/1. The Transformer Architecture (encoders, decoders, and self-attention.).vtt
19 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.vtt
18 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Activity Tokenization with Google CoLab and HuggingFace.vtt
16 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/4. How GPT Works, Part 1 The GPT Transformer Architecture.vtt
13 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.vtt
13 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/11. Activity Fine Tuning GPT with the IMDb dataset.vtt
11 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.vtt
11 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.vtt
11 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/10. Activity Using small and large GPT models within Google CoLab and HuggingFace.vtt
9.0 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.vtt
8.9 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/3. Applications of Transformers (GPT).vtt
8.4 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/6. Fine Tuning Transfer Learning with Transformers.vtt
4.6 kB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/8. Activity Positional Encoding.vtt
3.6 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4
319 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4
166 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/2. Activity Using Tools and Functions in the OpenAI Chat Completion API.mp4
81 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/1. Activity The OpenAI Chat Completions API.mp4
65 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/4. Activity The Embeddings API in OpenAI Finding similarities between words.mp4
29 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/3. Activity The Images (DALL-E) API in OpenAI.mp4
26 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/8. Activity The OpenAI Moderation API.mp4
16 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/9. Activity The OpenAI Audio API (speech to text).mp4
13 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/5. The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4
12 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.vtt
38 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.vtt
29 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/1. Activity The OpenAI Chat Completions API.vtt
21 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/2. Activity Using Tools and Functions in the OpenAI Chat Completion API.vtt
18 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/7. MakingData.ipynb
14 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/4. Activity The Embeddings API in OpenAI Finding similarities between words.vtt
11 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/5. The Legacy Fine-Tuning API for GPT Models in OpenAI.vtt
9.6 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/3. Activity The Images (DALL-E) API in OpenAI.vtt
7.3 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/9. Activity The OpenAI Audio API (speech to text).vtt
6.8 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/8. Activity The OpenAI Moderation API.vtt
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13. The OpenAI API (Developing with GPT and ChatGPT)/2. Functions.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/6. extract-script.py
1.9 kB
13. The OpenAI API (Developing with GPT and ChatGPT)/1. Chat-Completions.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/4. Embedding.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/3. Image.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/9. Audio.py
445 B
13. The OpenAI API (Developing with GPT and ChatGPT)/8. Moderation.py
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14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4
271 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4
264 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4
264 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/1. Retrieval Augmented Generation (RAG) How it works, with some examples.mp4
93 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4
72 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.mp4
30 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.mp4
25 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/9. LLM Agents and Swarms of Agents.mp4
25 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/7. Advanced RAG Prompt Compression, and More Tuning Opportunities.mp4
22 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/6. Advanced RAG Query Rewriting.mp4
8.1 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Data_Advanced_RAG.ipynb
764 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Data_RAG.ipynb
100 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Data_Agent.ipynb
83 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Data_RAG_Metrics.ipynb
72 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.vtt
34 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.vtt
31 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/1. Retrieval Augmented Generation (RAG) How it works, with some examples.vtt
31 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.vtt
28 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.vtt
28 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.vtt
20 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.vtt
14 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/7. Advanced RAG Prompt Compression, and More Tuning Opportunities.vtt
10 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/9. LLM Agents and Swarms of Agents.vtt
9.7 kB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/6. Advanced RAG Query Rewriting.vtt
7.2 kB
15. Final Project/2. Final project review.mp4
64 MB
15. Final Project/1. Your final project assignment Mammogram Classification.mp4
52 MB
15. Final Project/2. Final project review.vtt
18 kB
15. Final Project/1. Your final project assignment Mammogram Classification.vtt
12 kB
16. You made it!/1. More to Explore.mp4
34 MB
16. You made it!/3. 2019-04-08_18-15-28-b861b8ffb2406e3f70aad5871e4e91ff.png
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16. You made it!/3. 2019-04-08_17-55-57-bcf2d7bf9cef514f135511b184f77e48.png
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16. You made it!/3. 2019-04-08_18-17-01-1a5b2a5d579cfb42118eaf525e7a7b83.png
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16. You made it!/3. 2019-04-08_18-17-59-492c9dc76de5ed12f532ead3e609f148.png
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16. You made it!/3. 2019-04-08_18-01-48-cf6d9b7536a1e4a75438299681428036.png
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16. You made it!/3. 2019-04-08_18-03-42-4930e7b3a27d368a568d97fd8c959359.png
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16. You made it!/3. 2024-07-26_12-45-38-32f4df5ac9105153f0fd5c7fdab93d89.png
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16. You made it!/3. 2022-07-23_11-27-36-c40b770315b5187e58bca3c2542ee3b4.png
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16. You made it!/3. 2021-10-16_12-16-09-e3dd0e05ba917baf745a42fc35a0cbb2.jpg
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16. You made it!/3. 2019-04-08_18-21-33-2ee7f2d5dff7cccfd9f4103899aa6cc0.png
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16. You made it!/3. 2024-08-06_13-32-36-7f6c6c13c6b331d2282e71ed3e362b48.jpg
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16. You made it!/3. 2019-10-23_18-48-57-9fb797c585d7195417eca364a27b07c9.jpg
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16. You made it!/3. Bonus Lecture.html
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16. You made it!/1. More to Explore.vtt
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16. You made it!/2. Don't Forget to Leave a Rating!.html
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