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Category:
Language:
English
Total Size:
7.2 GB
Info Hash:
F1A0D9CDA08170291CC4843982E25D7168522866
Added By:
Added:
April 27, 2024, 3:04 p.m.
Stats:
|
(Last updated: May 16, 2025, 12:21 a.m.)
| File | Size |
|---|---|
| [CourseClub.Me].url | 122 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Introduction.mp4 | 59.6 MB |
| 001 Introduction_en.srt | 6.1 KB |
| 002 Udemy 101 Getting the Most From This Course.mp4 | 17.4 MB |
| 002 Udemy 101 Getting the Most From This Course_en.srt | 4.9 KB |
| 003 Important note.html | 575 bytes |
| 004 Installation Getting Started.html | 1.2 KB |
| 005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 | 102.0 MB |
| 005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials_en.srt | 20.7 KB |
| 006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 | 96.2 MB |
| 006 [Activity] MAC Installing and Using Anaconda & Course Materials_en.srt | 16.9 KB |
| 007 [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4 | 85.5 MB |
| 007 [Activity] LINUX Installing and Using Anaconda & Course Materials_en.srt | 18.0 KB |
| 008 Python Basics, Part 1 [Optional].mp4 | 26.9 MB |
| 008 Python Basics, Part 1 [Optional]_en.srt | 9.5 KB |
| 009 [Activity] Python Basics, Part 2 [Optional].mp4 | 20.6 MB |
| 009 [Activity] Python Basics, Part 2 [Optional]_en.srt | 9.3 KB |
| 010 [Activity] Python Basics, Part 3 [Optional].mp4 | 5.1 MB |
| 010 [Activity] Python Basics, Part 3 [Optional]_en.srt | 5.2 KB |
| 011 [Activity] Python Basics, Part 4 [Optional].mp4 | 8.2 MB |
| 011 [Activity] Python Basics, Part 4 [Optional]_en.srt | 7.1 KB |
| 012 Introducing the Pandas Library [Optional].mp4 | 44.2 MB |
| 012 Introducing the Pandas Library [Optional]_en.srt | 21.9 KB |
| 001 Types of Data (Numerical, Categorical, Ordinal).mp4 | 73.1 MB |
| 001 Types of Data (Numerical, Categorical, Ordinal)_en.srt | 14.4 KB |
| 002 Mean, Median, Mode.mp4 | 16.0 MB |
| 002 Mean, Median, Mode_en.srt | 11.6 KB |
| 003 [Activity] Using mean, median, and mode in Python.mp4 | 44.5 MB |
| 003 [Activity] Using mean, median, and mode in Python_en.srt | 19.3 KB |
| 004 [Activity] Variation and Standard Deviation.mp4 | 103.4 MB |
| 004 [Activity] Variation and Standard Deviation_en.srt | 23.0 KB |
| 005 Probability Density Function; Probability Mass Function.mp4 | 6.9 MB |
| 005 Probability Density Function; Probability Mass Function_en.srt | 7.1 KB |
| 006 Common Data Distributions (Normal, Binomial, Poisson, etc).mp4 | 28.3 MB |
| 006 Common Data Distributions (Normal, Binomial, Poisson, etc)_en.srt | 14.5 KB |
| 007 [Activity] Percentiles and Moments.mp4 | 42.6 MB |
| 007 [Activity] Percentiles and Moments_en.srt | 26.8 KB |
| 008 [Activity] A Crash Course in matplotlib.mp4 | 78.7 MB |
| 008 [Activity] A Crash Course in matplotlib_en.srt | 26.1 KB |
| 009 [Activity] Advanced Visualization with Seaborn.mp4 | 96.1 MB |
| 009 [Activity] Advanced Visualization with Seaborn_en.srt | 35.7 KB |
| 010 [Activity] Covariance and Correlation.mp4 | 69.5 MB |
| 010 [Activity] Covariance and Correlation_en.srt | 23.7 KB |
| 011 [Exercise] Conditional Probability.mp4 | 94.0 MB |
| 011 [Exercise] Conditional Probability_en.srt | 34.1 KB |
| 012 Exercise Solution Conditional Probability of Purchase by Age.mp4 | 15.0 MB |
| 012 Exercise Solution Conditional Probability of Purchase by Age_en.srt | 4.8 KB |
| 013 Bayes' Theorem.mp4 | 56.1 MB |
| 013 Bayes' Theorem_en.srt | 10.4 KB |
| 001 [Activity] Linear Regression.mp4 | 93.0 MB |
| 001 [Activity] Linear Regression_en.srt | 23.8 KB |
| 002 [Activity] Polynomial Regression.mp4 | 60.5 MB |
| 002 [Activity] Polynomial Regression_en.srt | 15.7 KB |
| 003 [Activity] Multiple Regression, and Predicting Car Prices.mp4 | 94.1 MB |
| 003 [Activity] Multiple Regression, and Predicting Car Prices_en.srt | 34.2 KB |
| 004 Multi-Level Models.mp4 | 27.2 MB |
| 004 Multi-Level Models_en.srt | 9.8 KB |
| [CourseClub.Me].url | 122 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Supervised vs. Unsupervised Learning, and TrainTest.mp4 | 56.7 MB |
| 001 Supervised vs. Unsupervised Learning, and TrainTest_en.srt | 19.4 KB |
| 002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 | 21.6 MB |
| 002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression_en.srt | 11.9 KB |
| 003 Bayesian Methods Concepts.mp4 | 9.8 MB |
| 003 Bayesian Methods Concepts_en.srt | 8.1 KB |
| 004 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 | 81.4 MB |
| 004 [Activity] Implementing a Spam Classifier with Naive Bayes_en.srt | 16.6 KB |
| 005 K-Means Clustering.mp4 | 26.0 MB |
| 005 K-Means Clustering_en.srt | 15.6 KB |
| 006 [Activity] Clustering people based on income and age.mp4 | 22.0 MB |
| 006 [Activity] Clustering people based on income and age_en.srt | 11.1 KB |
| 007 Measuring Entropy.mp4 | 12.1 MB |
| 007 Measuring Entropy_en.srt | 6.4 KB |
| 008 [Activity] WINDOWS Installing Graphviz.mp4 | 949.3 KB |
| 008 [Activity] WINDOWS Installing Graphviz_en.srt | 872 bytes |
| 009 [Activity] MAC Installing Graphviz.mp4 | 9.1 MB |
| 009 [Activity] MAC Installing Graphviz_en.srt | 1.8 KB |
| 010 [Activity] LINUX Installing Graphviz.mp4 | 2.5 MB |
| 010 [Activity] LINUX Installing Graphviz_en.srt | 1.4 KB |
| 011 Decision Trees Concepts.mp4 | 81.5 MB |
| 011 Decision Trees Concepts_en.srt | 18.7 KB |
| 012 [Activity] Decision Trees Predicting Hiring Decisions.mp4 | 57.8 MB |
| 012 [Activity] Decision Trees Predicting Hiring Decisions_en.srt | 20.1 KB |
| 013 Ensemble Learning.mp4 | 37.0 MB |
| 013 Ensemble Learning_en.srt | 12.7 KB |
| 014 [Activity] XGBoost.mp4 | 79.3 MB |
| 014 [Activity] XGBoost_en.srt | 33.7 KB |
| 015 Support Vector Machines (SVM) Overview.mp4 | 16.3 MB |
| 015 Support Vector Machines (SVM) Overview_en.srt | 9.5 KB |
| 016 [Activity] Using SVM to cluster people using scikit-learn.mp4 | 38.5 MB |
| 016 [Activity] Using SVM to cluster people using scikit-learn_en.srt | 20.0 KB |
| 001 User-Based Collaborative Filtering.mp4 | 81.7 MB |
| 001 User-Based Collaborative Filtering_en.srt | 17.3 KB |
| 002 Item-Based Collaborative Filtering.mp4 | 23.2 MB |
| 002 Item-Based Collaborative Filtering_en.srt | 17.8 KB |
| 003 [Activity] Finding Movie Similarities using Cosine Similarity.mp4 | 82.7 MB |
| 003 [Activity] Finding Movie Similarities using Cosine Similarity_en.srt | 17.9 KB |
| 004 [Activity] Improving the Results of Movie Similarities.mp4 | 56.1 MB |
| 004 [Activity] Improving the Results of Movie Similarities_en.srt | 16.2 KB |
| 005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 | 124.1 MB |
| 005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering_en.srt | 20.3 KB |
| 006 [Exercise] Improve the recommender's results.mp4 | 28.0 MB |
| 006 [Exercise] Improve the recommender's results_en.srt | 12.1 KB |
| 001 K-Nearest-Neighbors Concepts.mp4 | 14.0 MB |
| 001 K-Nearest-Neighbors Concepts_en.srt | 7.9 KB |
| 002 [Activity] Using KNN to predict a rating for a movie.mp4 | 85.5 MB |
| 002 [Activity] Using KNN to predict a rating for a movie_en.srt | 24.1 KB |
| 003 Dimensionality Reduction; Principal Component Analysis (PCA).mp4 | 38.1 MB |
| 003 Dimensionality Reduction; Principal Component Analysis (PCA)_en.srt | 11.7 KB |
| 004 [Activity] PCA Example with the Iris data set.mp4 | 65.8 MB |
| 004 [Activity] PCA Example with the Iris data set_en.srt | 17.9 KB |
| 005 Data Warehousing Overview ETL and ELT.mp4 | 58.7 MB |
| 005 Data Warehousing Overview ETL and ELT_en.srt | 18.1 KB |
| 006 Cat-and-Mouse-Example.url | 103 bytes |
| 006 Pac-Man-Example.url | 108 bytes |
| 006 Python-Markov-Decision-Process-Toolbox.url | 82 bytes |
| 006 Reinforcement Learning.mp4 | 125.2 MB |
| 006 Reinforcement Learning_en.srt | 25.3 KB |
| 007 [Activity] Reinforcement Learning & Q-Learning with Gym.mp4 | 62.8 MB |
| 007 [Activity] Reinforcement Learning & Q-Learning with Gym_en.srt | 26.6 KB |
| 008 Understanding a Confusion Matrix.mp4 | 7.4 MB |
| 008 Understanding a Confusion Matrix_en.srt | 11.6 KB |
| 009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4 | 11.7 MB |
| 009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC)_en.srt | 12.7 KB |
| external-links.txt | 325 bytes |
| 001 BiasVariance Tradeoff.mp4 | 23.6 MB |
| 001 BiasVariance Tradeoff_en.srt | 12.8 KB |
| 002 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 | 56.9 MB |
| 002 [Activity] K-Fold Cross-Validation to avoid overfitting_en.srt | 20.6 KB |
| 003 Data Cleaning and Normalization.mp4 | 73.1 MB |
| 003 Data Cleaning and Normalization_en.srt | 16.2 KB |
| 004 [Activity] Cleaning web log data.mp4 | 31.0 MB |
| 004 [Activity] Cleaning web log data_en.srt | 21.8 KB |
| 005 Normalizing numerical data.mp4 | 10.3 MB |
| 005 Normalizing numerical data_en.srt | 7.2 KB |
| 006 [Activity] Detecting outliers.mp4 | 27.2 MB |
| 006 [Activity] Detecting outliers_en.srt | 13.3 KB |
| 007 Feature Engineering and the Curse of Dimensionality.mp4 | 14.6 MB |
| 007 Feature Engineering and the Curse of Dimensionality_en.srt | 13.9 KB |
| 008 Imputation Techniques for Missing Data.mp4 | 18.2 MB |
| 008 Imputation Techniques for Missing Data_en.srt | 17.3 KB |
| 009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4 | 17.4 MB |
| 009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE_en.srt | 11.8 KB |
| 010 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 | 42.7 MB |
| 010 Binning, Transforming, Encoding, Scaling, and Shuffling_en.srt | 16.9 KB |
| 001 Warning about Java 21+ and Spark 3!.html | 389 bytes |
| 002 Spark installation notes for MacOS and Linux users.html | 3.1 KB |
| 003 [Activity] Installing Spark.mp4 | 141.4 MB |
| 003 [Activity] Installing Spark_en.srt | 21.3 KB |
| 004 Spark Introduction.mp4 | 25.0 MB |
| 004 Spark Introduction_en.srt | 19.2 KB |
| 005 Spark and the Resilient Distributed Dataset (RDD).mp4 | 22.3 MB |
| 005 Spark and the Resilient Distributed Dataset (RDD)_en.srt | 24.2 KB |
| 006 Introducing MLLib.mp4 | 14.7 MB |
| 006 Introducing MLLib_en.srt | 10.4 KB |
| 007 Introduction to Decision Trees in Spark.mp4 | 134.0 MB |
| 007 Introduction to Decision Trees in Spark_en.srt | 33.1 KB |
| 008 [Activity] K-Means Clustering in Spark.mp4 | 116.1 MB |
| 008 [Activity] K-Means Clustering in Spark_en.srt | 21.1 KB |
| 009 TF IDF.mp4 | 65.7 MB |
| 009 TF IDF_en.srt | 13.4 KB |
| 010 [Activity] Searching Wikipedia with Spark.mp4 | 84.0 MB |
| 010 [Activity] Searching Wikipedia with Spark_en.srt | 15.6 KB |
| 011 [Activity] Using the Spark DataFrame API for MLLib.mp4 | 65.1 MB |
| 011 [Activity] Using the Spark DataFrame API for MLLib_en.srt | 15.1 KB |
| 001 Deploying Models to Real-Time Systems.mp4 | 17.2 MB |
| 001 Deploying Models to Real-Time Systems_en.srt | 18.8 KB |
| 002 AB Testing Concepts.mp4 | 32.0 MB |
| 002 AB Testing Concepts_en.srt | 18.7 KB |
| 003 T-Tests and P-Values.mp4 | 14.1 MB |
| 003 T-Tests and P-Values_en.srt | 12.3 KB |
| 004 [Activity] Hands-on With T-Tests.mp4 | 47.8 MB |
| 004 [Activity] Hands-on With T-Tests_en.srt | 12.3 KB |
| 005 Determining How Long to Run an Experiment.mp4 | 9.7 MB |
| 005 Determining How Long to Run an Experiment_en.srt | 7.7 KB |
| 006 AB Test Gotchas.mp4 | 91.7 MB |
| 006 AB Test Gotchas_en.srt | 20.9 KB |
| [CourseClub.Me].url | 122 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Deep Learning Pre-Requisites.mp4 | 70.4 MB |
| 001 Deep Learning Pre-Requisites_en.srt | 26.0 KB |
| 002 The History of Artificial Neural Networks.mp4 | 68.9 MB |
| 002 The History of Artificial Neural Networks_en.srt | 24.2 KB |
| 003 [Activity] Deep Learning in the Tensorflow Playground.mp4 | 55.7 MB |
| 003 [Activity] Deep Learning in the Tensorflow Playground_en.srt | 24.0 KB |
| 004 Deep Learning Details.mp4 | 30.9 MB |
| 004 Deep Learning Details_en.srt | 20.9 KB |
| 005 Introducing Tensorflow.mp4 | 46.6 MB |
| 005 Introducing Tensorflow_en.srt | 26.6 KB |
| 006 [Activity] Using Tensorflow, Part 1.mp4 | 107.7 MB |
| 006 [Activity] Using Tensorflow, Part 1_en.srt | 27.7 KB |
| 007 [Activity] Using Tensorflow, Part 2.mp4 | 95.1 MB |
| 007 [Activity] Using Tensorflow, Part 2_en.srt | 24.9 KB |
| 008 [Activity] Introducing Keras.mp4 | 72.0 MB |
| 008 [Activity] Introducing Keras_en.srt | 28.6 KB |
| 009 [Activity] Using Keras to Predict Political Affiliations.mp4 | 88.9 MB |
| 009 [Activity] Using Keras to Predict Political Affiliations_en.srt | 25.4 KB |
| 010 Convolutional Neural Networks (CNN's).mp4 | 58.7 MB |
| 010 Convolutional Neural Networks (CNN's)_en.srt | 24.9 KB |
| 011 [Activity] Using CNN's for handwriting recognition.mp4 | 52.8 MB |
| 011 [Activity] Using CNN's for handwriting recognition_en.srt | 16.8 KB |
| 012 Recurrent Neural Networks (RNN's).mp4 | 32.8 MB |
| 012 Recurrent Neural Networks (RNN's)_en.srt | 23.0 KB |
| 013 [Activity] Using a RNN for sentiment analysis.mp4 | 73.6 MB |
| 013 [Activity] Using a RNN for sentiment analysis_en.srt | 20.7 KB |
| 014 [Activity] Transfer Learning.mp4 | 111.0 MB |
| 014 [Activity] Transfer Learning_en.srt | 25.3 KB |
| 015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4 | 8.5 MB |
| 015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters_en.srt | 10.3 KB |
| 016 Deep Learning Regularization with Dropout and Early Stopping.mp4 | 19.8 MB |
| 016 Deep Learning Regularization with Dropout and Early Stopping_en.srt | 13.9 KB |
| 017 The Ethics of Deep Learning.mp4 | 120.5 MB |
| 017 The Ethics of Deep Learning_en.srt | 24.9 KB |
| 001 Variational Auto-Encoders (VAE's) - how they work.mp4 | 42.9 MB |
| 001 Variational Auto-Encoders (VAE's) - how they work_en.srt | 21.6 KB |
| 002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 | 148.8 MB |
| 002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST_en.srt | 54.6 KB |
| 002 VariationalAutoEncoders.ipynb | 1.3 MB |
| 003 Generative Adversarial Networks (GAN's) - How they work.mp4 | 15.2 MB |
| 003 Generative Adversarial Networks (GAN's) - How they work_en.srt | 15.9 KB |
| 004 Generative Adversarial Networks (GAN's) - Playing with some demos.mp4 | 86.1 MB |
| 004 Generative Adversarial Networks (GAN's) - Playing with some demos_en.srt | 21.7 KB |
| 005 GAN-on-Fashion-MNIST.ipynb | 3.7 MB |
| 005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 | 126.1 MB |
| 005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST_en.srt | 32.6 KB |
| 006 Learning More about Deep Learning.mp4 | 20.2 MB |
| 006 Learning More about Deep Learning_en.srt | 3.8 KB |
| 001 The Transformer Architecture (encoders, decoders, and self-attention.).mp4 | 44.2 MB |
| 001 The Transformer Architecture (encoders, decoders, and self-attention.)_en.srt | 22.3 KB |
| 002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4 | 41.5 MB |
| 002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth_en.srt | 21.7 KB |
| 003 Applications of Transformers (GPT).mp4 | 20.2 MB |
| 003 Applications of Transformers (GPT)_en.srt | 10.1 KB |
| 004 How GPT Works, Part 1 The GPT Transformer Architecture.mp4 | 30.3 MB |
| 004 How GPT Works, Part 1 The GPT Transformer Architecture_en.srt | 16.0 KB |
| 005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4 | 28.5 MB |
| 005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding_en.srt | 10.8 KB |
| 006 Fine Tuning Transfer Learning with Transformers.mp4 | 11.5 MB |
| 006 Fine Tuning Transfer Learning with Transformers_en.srt | 5.5 KB |
| 007 Transformers-MLCourse.ipynb | 6.7 MB |
| 007 [Activity] Tokenization with Google CoLab and HuggingFace.mp4 | 79.0 MB |
| 007 [Activity] Tokenization with Google CoLab and HuggingFace_en.srt | 18.6 KB |
| 008 [Activity] Positional Encoding.mp4 | 16.0 MB |
| 008 [Activity] Positional Encoding_en.srt | 4.3 KB |
| 009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4 | 39.8 MB |
| 009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT_en.srt | 12.8 KB |
| 010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace.mp4 | 69.3 MB |
| 010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace_en.srt | 10.8 KB |
| 011 [Activity] Fine Tuning GPT with the IMDb dataset.mp4 | 85.2 MB |
| 011 [Activity] Fine Tuning GPT with the IMDb dataset_en.srt | 13.4 KB |
| 012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4 | 51.1 MB |
| 012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients_en.srt | 15.9 KB |
| 013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4 | 37.8 MB |
| 013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation_en.srt | 12.8 KB |
| 001 Chat-Completions.py | 1.2 KB |
| 001 [Activity] The OpenAI Chat Completions API.mp4 | 70.4 MB |
| 001 [Activity] The OpenAI Chat Completions API_en.srt | 24.9 KB |
| 002 Functions.py | 3.5 KB |
| 002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API.mp4 | 61.2 MB |
| 002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API_en.srt | 19.1 KB |
| 003 Image.py | 664 bytes |
| 003 [Activity] The Images (DALL-E) API in OpenAI.mp4 | 29.6 MB |
| 003 [Activity] The Images (DALL-E) API in OpenAI_en.srt | 8.8 KB |
| 004 Embedding.py | 964 bytes |
| 004 [Activity] The Embeddings API in OpenAI Finding similarities between words.mp4 | 32.9 MB |
| 004 [Activity] The Embeddings API in OpenAI Finding similarities between words_en.srt | 13.3 KB |
| 005 The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4 | 29.4 MB |
| 005 The Legacy Fine-Tuning API for GPT Models in OpenAI_en.srt | 11.5 KB |
| 006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 | 170.8 MB |
| 006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek_en.srt | 35.3 KB |
| 006 extract-script.py | 1.9 KB |
| 007 MakingData.ipynb | 13.6 KB |
| 007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 | 319.0 MB |
| 007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!_en.srt | 45.9 KB |
| 008 Moderation.py | 166 bytes |
| 008 [Activity] The OpenAI Moderation API.mp4 | 17.1 MB |
| 009 Audio.py | 445 bytes |
| 009 [Activity] The OpenAI Audio API (speech to text).mp4 | 28.7 MB |
| 009 [Activity] The OpenAI Audio API (speech to text)_en.srt | 8.2 KB |
| 001 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4 | 92.9 MB |
| 001 Retrieval Augmented Generation (RAG) How it works, with some examples_en.srt | 37.2 KB |
| 002 Data-RAG.ipynb | 100.4 KB |
| 002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 | 184.5 MB |
| 002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek_en.srt | 40.7 KB |
| 001 Your final project assignment Mammogram Classification.mp4 | 51.6 MB |
| 001 Your final project assignment Mammogram Classification_en.srt | 14.3 KB |
| 002 Final project review.mp4 | 64.5 MB |
| 002 Final project review_en.srt | 22.3 KB |
| [CourseClub.Me].url | 122 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 More to Explore.mp4 | 34.0 MB |
| 001 More to Explore_en.srt | 6.8 KB |
| 002 Don't Forget to Leave a Rating!.html | 564 bytes |
| 003 Bonus Lecture.html | 9.2 KB |
| [CourseClub.Me].url | 122 bytes |
| [GigaCourse.Com].url | 49 bytes |
Name
DL
Uploader
Size
S/L
Added
-
358.7 MB
[23
/
9]
2025-04-03
| Uploaded by freecoursewb | Size 358.7 MB | Health [ 23 /9 ] | Added 2025-04-03 |
-
1.6 GB
[18
/
3]
2023-10-30
| Uploaded by FreeCourseWeb | Size 1.6 GB | Health [ 18 /3 ] | Added 2023-10-30 |
NOTE
SOURCE: Udemy Machine Learning Data Science and Generative AI with Pyt
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COVER
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MEDIAINFO
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