GigaCourse Com Udemy Machine Learning Data Science and Generative AI with Python

GigaCourse Com Udemy Machine Learning Data Science and Generative AI with Python

Name	[GigaCourse.Com] Udemy - Machine Learning, Data Science and Generative AI with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.7 GB
Total Files	297
Last Seen	2025-04-04 00:57
Hash	F1A0D9CDA08170291CC4843982E25D7168522866

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - Getting Started/
001 Introduction.mp4	62.5 MB
001 Introduction_en.srt	6.2 KB
002 Udemy 101 Getting the Most From This Course.mp4	18.2 MB
002 Udemy 101 Getting the Most From This Course_en.srt	5.0 KB
003 Important note.html	0.6 KB
004 Installation Getting Started.html	1.2 KB
005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4	106.9 MB
005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials_en.srt	21.2 KB
006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4	100.9 MB
006 [Activity] MAC Installing and Using Anaconda & Course Materials_en.srt	17.3 KB
007 [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4	89.7 MB
007 [Activity] LINUX Installing and Using Anaconda & Course Materials_en.srt	18.4 KB
008 Python Basics, Part 1 [Optional].mp4	28.2 MB
008 Python Basics, Part 1 [Optional]_en.srt	9.8 KB
009 [Activity] Python Basics, Part 2 [Optional].mp4	21.6 MB
009 [Activity] Python Basics, Part 2 [Optional]_en.srt	9.5 KB
010 [Activity] Python Basics, Part 3 [Optional].mp4	5.4 MB
010 [Activity] Python Basics, Part 3 [Optional]_en.srt	5.4 KB
011 [Activity] Python Basics, Part 4 [Optional].mp4	8.6 MB
011 [Activity] Python Basics, Part 4 [Optional]_en.srt	7.3 KB
012 Introducing the Pandas Library [Optional].mp4	46.3 MB
012 Introducing the Pandas Library [Optional]_en.srt	22.4 KB
/02 - Statistics and Probability Refresher, and Python Practice/
001 Types of Data (Numerical, Categorical, Ordinal).mp4	76.7 MB
001 Types of Data (Numerical, Categorical, Ordinal)_en.srt	14.8 KB
002 Mean, Median, Mode.mp4	16.7 MB
002 Mean, Median, Mode_en.srt	11.9 KB
003 [Activity] Using mean, median, and mode in Python.mp4	46.7 MB
003 [Activity] Using mean, median, and mode in Python_en.srt	19.8 KB
004 [Activity] Variation and Standard Deviation.mp4	108.4 MB
004 [Activity] Variation and Standard Deviation_en.srt	23.5 KB
005 Probability Density Function; Probability Mass Function.mp4	7.3 MB
005 Probability Density Function; Probability Mass Function_en.srt	7.3 KB
006 Common Data Distributions (Normal, Binomial, Poisson, etc).mp4	29.6 MB
006 Common Data Distributions (Normal, Binomial, Poisson, etc)_en.srt	14.8 KB
007 [Activity] Percentiles and Moments.mp4	44.6 MB
007 [Activity] Percentiles and Moments_en.srt	27.5 KB
008 [Activity] A Crash Course in matplotlib.mp4	82.5 MB
008 [Activity] A Crash Course in matplotlib_en.srt	26.7 KB
009 [Activity] Advanced Visualization with Seaborn.mp4	100.8 MB
009 [Activity] Advanced Visualization with Seaborn_en.srt	36.6 KB
010 [Activity] Covariance and Correlation.mp4	72.9 MB
010 [Activity] Covariance and Correlation_en.srt	24.3 KB
011 [Exercise] Conditional Probability.mp4	98.5 MB
011 [Exercise] Conditional Probability_en.srt	34.9 KB
012 Exercise Solution Conditional Probability of Purchase by Age.mp4	15.7 MB
012 Exercise Solution Conditional Probability of Purchase by Age_en.srt	4.9 KB
013 Bayes' Theorem.mp4	58.8 MB
013 Bayes' Theorem_en.srt	10.6 KB
/03 - Predictive Models/
001 [Activity] Linear Regression.mp4	97.5 MB
001 [Activity] Linear Regression_en.srt	24.3 KB
002 [Activity] Polynomial Regression.mp4	63.5 MB
002 [Activity] Polynomial Regression_en.srt	16.1 KB
003 [Activity] Multiple Regression, and Predicting Car Prices.mp4	98.7 MB
003 [Activity] Multiple Regression, and Predicting Car Prices_en.srt	35.0 KB
004 Multi-Level Models.mp4	28.5 MB
004 Multi-Level Models_en.srt	10.0 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/04 - Machine Learning with Python/
001 Supervised vs. Unsupervised Learning, and TrainTest.mp4	59.4 MB
001 Supervised vs. Unsupervised Learning, and TrainTest_en.srt	19.9 KB
002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4	22.7 MB
002 [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression_en.srt	12.2 KB
003 Bayesian Methods Concepts.mp4	10.3 MB
003 Bayesian Methods Concepts_en.srt	8.3 KB
004 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4	85.3 MB
004 [Activity] Implementing a Spam Classifier with Naive Bayes_en.srt	17.0 KB
005 K-Means Clustering.mp4	27.3 MB
005 K-Means Clustering_en.srt	16.0 KB
006 [Activity] Clustering people based on income and age.mp4	23.1 MB
006 [Activity] Clustering people based on income and age_en.srt	11.4 KB
007 Measuring Entropy.mp4	12.7 MB
007 Measuring Entropy_en.srt	6.6 KB
008 [Activity] WINDOWS Installing Graphviz.mp4	972.1 KB
008 [Activity] WINDOWS Installing Graphviz_en.srt	0.9 KB
009 [Activity] MAC Installing Graphviz.mp4	9.5 MB
009 [Activity] MAC Installing Graphviz_en.srt	1.9 KB
010 [Activity] LINUX Installing Graphviz.mp4	2.6 MB
010 [Activity] LINUX Installing Graphviz_en.srt	1.4 KB
011 Decision Trees Concepts.mp4	85.5 MB
011 Decision Trees Concepts_en.srt	19.1 KB
012 [Activity] Decision Trees Predicting Hiring Decisions.mp4	60.6 MB
012 [Activity] Decision Trees Predicting Hiring Decisions_en.srt	20.6 KB
013 Ensemble Learning.mp4	38.8 MB
013 Ensemble Learning_en.srt	13.0 KB
014 [Activity] XGBoost.mp4	83.1 MB
014 [Activity] XGBoost_en.srt	34.5 KB
015 Support Vector Machines (SVM) Overview.mp4	17.1 MB
015 Support Vector Machines (SVM) Overview_en.srt	9.7 KB
016 [Activity] Using SVM to cluster people using scikit-learn.mp4	40.4 MB
016 [Activity] Using SVM to cluster people using scikit-learn_en.srt	20.5 KB
/05 - Recommender Systems/
001 User-Based Collaborative Filtering.mp4	85.7 MB
001 User-Based Collaborative Filtering_en.srt	17.8 KB
002 Item-Based Collaborative Filtering.mp4	24.3 MB
002 Item-Based Collaborative Filtering_en.srt	18.2 KB
003 [Activity] Finding Movie Similarities using Cosine Similarity.mp4	86.7 MB
003 [Activity] Finding Movie Similarities using Cosine Similarity_en.srt	18.3 KB
004 [Activity] Improving the Results of Movie Similarities.mp4	58.8 MB
004 [Activity] Improving the Results of Movie Similarities_en.srt	16.6 KB
005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4	130.1 MB
005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering_en.srt	20.7 KB
006 [Exercise] Improve the recommender's results.mp4	29.4 MB
006 [Exercise] Improve the recommender's results_en.srt	12.4 KB
/06 - More Data Mining and Machine Learning Techniques/
001 K-Nearest-Neighbors Concepts.mp4	14.7 MB
001 K-Nearest-Neighbors Concepts_en.srt	8.1 KB
002 [Activity] Using KNN to predict a rating for a movie.mp4	89.7 MB
002 [Activity] Using KNN to predict a rating for a movie_en.srt	24.7 KB
003 Dimensionality Reduction; Principal Component Analysis (PCA).mp4	40.0 MB
003 Dimensionality Reduction; Principal Component Analysis (PCA)_en.srt	12.0 KB
004 [Activity] PCA Example with the Iris data set.mp4	69.0 MB
004 [Activity] PCA Example with the Iris data set_en.srt	18.4 KB
005 Data Warehousing Overview ETL and ELT.mp4	61.6 MB
005 Data Warehousing Overview ETL and ELT_en.srt	18.5 KB
006 Cat-and-Mouse-Example.url	0.1 KB
006 Pac-Man-Example.url	0.1 KB
006 Python-Markov-Decision-Process-Toolbox.url	0.1 KB
006 Reinforcement Learning.mp4	131.3 MB
006 Reinforcement Learning_en.srt	25.9 KB
007 [Activity] Reinforcement Learning & Q-Learning with Gym.mp4	65.8 MB
007 [Activity] Reinforcement Learning & Q-Learning with Gym_en.srt	27.2 KB
008 Understanding a Confusion Matrix.mp4	7.7 MB
008 Understanding a Confusion Matrix_en.srt	11.9 KB
009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4	12.2 MB
009 Measuring Classifiers (Precision, Recall, F1, ROC, AUC)_en.srt	13.0 KB
external-links.txt	0.3 KB
/07 - Dealing with Real-World Data/
001 BiasVariance Tradeoff.mp4	24.8 MB
001 BiasVariance Tradeoff_en.srt	13.1 KB
002 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4	59.7 MB
002 [Activity] K-Fold Cross-Validation to avoid overfitting_en.srt	21.1 KB
003 Data Cleaning and Normalization.mp4	76.6 MB
003 Data Cleaning and Normalization_en.srt	16.6 KB
004 [Activity] Cleaning web log data.mp4	32.5 MB
004 [Activity] Cleaning web log data_en.srt	22.3 KB
005 Normalizing numerical data.mp4	10.8 MB
005 Normalizing numerical data_en.srt	7.3 KB
006 [Activity] Detecting outliers.mp4	28.5 MB
006 [Activity] Detecting outliers_en.srt	13.6 KB
007 Feature Engineering and the Curse of Dimensionality.mp4	15.3 MB
007 Feature Engineering and the Curse of Dimensionality_en.srt	14.3 KB
008 Imputation Techniques for Missing Data.mp4	19.1 MB
008 Imputation Techniques for Missing Data_en.srt	17.7 KB
009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4	18.3 MB
009 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE_en.srt	12.1 KB
010 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4	44.8 MB
010 Binning, Transforming, Encoding, Scaling, and Shuffling_en.srt	17.3 KB
/08 - Apache Spark Machine Learning on Big Data/
001 Warning about Java 21+ and Spark 3!.html	0.4 KB
002 Spark installation notes for MacOS and Linux users.html	3.2 KB
003 [Activity] Installing Spark.mp4	148.2 MB
003 [Activity] Installing Spark_en.srt	21.8 KB
004 Spark Introduction.mp4	26.2 MB
004 Spark Introduction_en.srt	19.6 KB
005 Spark and the Resilient Distributed Dataset (RDD).mp4	23.4 MB
005 Spark and the Resilient Distributed Dataset (RDD)_en.srt	24.8 KB
006 Introducing MLLib.mp4	15.4 MB
006 Introducing MLLib_en.srt	10.7 KB
007 Introduction to Decision Trees in Spark.mp4	140.5 MB
007 Introduction to Decision Trees in Spark_en.srt	33.9 KB
008 [Activity] K-Means Clustering in Spark.mp4	121.8 MB
008 [Activity] K-Means Clustering in Spark_en.srt	21.6 KB
009 TF IDF.mp4	68.9 MB
009 TF IDF_en.srt	13.7 KB
010 [Activity] Searching Wikipedia with Spark.mp4	88.1 MB
010 [Activity] Searching Wikipedia with Spark_en.srt	16.0 KB
011 [Activity] Using the Spark DataFrame API for MLLib.mp4	68.3 MB
011 [Activity] Using the Spark DataFrame API for MLLib_en.srt	15.5 KB
/09 - Experimental Design ML in the Real World/
001 Deploying Models to Real-Time Systems.mp4	18.1 MB
001 Deploying Models to Real-Time Systems_en.srt	19.2 KB
002 AB Testing Concepts.mp4	33.6 MB
002 AB Testing Concepts_en.srt	19.1 KB
003 T-Tests and P-Values.mp4	14.8 MB
003 T-Tests and P-Values_en.srt	12.6 KB
004 [Activity] Hands-on With T-Tests.mp4	50.1 MB
004 [Activity] Hands-on With T-Tests_en.srt	12.6 KB
005 Determining How Long to Run an Experiment.mp4	10.2 MB
005 Determining How Long to Run an Experiment_en.srt	7.9 KB
006 AB Test Gotchas.mp4	96.2 MB
006 AB Test Gotchas_en.srt	21.5 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/10 - Deep Learning and Neural Networks/
001 Deep Learning Pre-Requisites.mp4	73.8 MB
001 Deep Learning Pre-Requisites_en.srt	26.7 KB
002 The History of Artificial Neural Networks.mp4	72.2 MB
002 The History of Artificial Neural Networks_en.srt	24.7 KB
003 [Activity] Deep Learning in the Tensorflow Playground.mp4	58.4 MB
003 [Activity] Deep Learning in the Tensorflow Playground_en.srt	24.5 KB
004 Deep Learning Details.mp4	32.4 MB
004 Deep Learning Details_en.srt	21.4 KB
005 Introducing Tensorflow.mp4	48.9 MB
005 Introducing Tensorflow_en.srt	27.2 KB
006 [Activity] Using Tensorflow, Part 1.mp4	112.9 MB
006 [Activity] Using Tensorflow, Part 1_en.srt	28.3 KB
007 [Activity] Using Tensorflow, Part 2.mp4	99.7 MB
007 [Activity] Using Tensorflow, Part 2_en.srt	25.5 KB
008 [Activity] Introducing Keras.mp4	75.5 MB
008 [Activity] Introducing Keras_en.srt	29.3 KB
009 [Activity] Using Keras to Predict Political Affiliations.mp4	93.2 MB
009 [Activity] Using Keras to Predict Political Affiliations_en.srt	26.0 KB
010 Convolutional Neural Networks (CNN's).mp4	61.6 MB
010 Convolutional Neural Networks (CNN's)_en.srt	25.4 KB
011 [Activity] Using CNN's for handwriting recognition.mp4	55.4 MB
011 [Activity] Using CNN's for handwriting recognition_en.srt	17.2 KB
012 Recurrent Neural Networks (RNN's).mp4	34.4 MB
012 Recurrent Neural Networks (RNN's)_en.srt	23.5 KB
013 [Activity] Using a RNN for sentiment analysis.mp4	77.1 MB
013 [Activity] Using a RNN for sentiment analysis_en.srt	21.2 KB
014 [Activity] Transfer Learning.mp4	116.4 MB
014 [Activity] Transfer Learning_en.srt	25.9 KB
015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4	8.9 MB
015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters_en.srt	10.6 KB
016 Deep Learning Regularization with Dropout and Early Stopping.mp4	20.8 MB
016 Deep Learning Regularization with Dropout and Early Stopping_en.srt	14.2 KB
017 The Ethics of Deep Learning.mp4	126.4 MB
017 The Ethics of Deep Learning_en.srt	25.5 KB
/11 - Generative Models/
001 Variational Auto-Encoders (VAE's) - how they work.mp4	45.0 MB
001 Variational Auto-Encoders (VAE's) - how they work_en.srt	22.2 KB
002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4	156.1 MB
002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST_en.srt	56.0 KB
002 VariationalAutoEncoders.ipynb	1.4 MB
003 Generative Adversarial Networks (GAN's) - How they work.mp4	16.0 MB
003 Generative Adversarial Networks (GAN's) - How they work_en.srt	16.3 KB
004 Generative Adversarial Networks (GAN's) - Playing with some demos.mp4	90.3 MB
004 Generative Adversarial Networks (GAN's) - Playing with some demos_en.srt	22.2 KB
005 GAN-on-Fashion-MNIST.ipynb	3.9 MB
005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4	132.2 MB
005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST_en.srt	33.4 KB
006 Learning More about Deep Learning.mp4	21.2 MB
006 Learning More about Deep Learning_en.srt	3.9 KB
/12 - Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/
001 The Transformer Architecture (encoders, decoders, and self-attention.).mp4	46.3 MB
001 The Transformer Architecture (encoders, decoders, and self-attention.)_en.srt	22.8 KB
002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4	43.5 MB
002 Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth_en.srt	22.2 KB
003 Applications of Transformers (GPT).mp4	21.2 MB
003 Applications of Transformers (GPT)_en.srt	10.3 KB
004 How GPT Works, Part 1 The GPT Transformer Architecture.mp4	31.7 MB
004 How GPT Works, Part 1 The GPT Transformer Architecture_en.srt	16.4 KB
005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4	29.9 MB
005 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding_en.srt	11.0 KB
006 Fine Tuning Transfer Learning with Transformers.mp4	12.1 MB
006 Fine Tuning Transfer Learning with Transformers_en.srt	5.6 KB
007 Transformers-MLCourse.ipynb	7.0 MB
007 [Activity] Tokenization with Google CoLab and HuggingFace.mp4	82.8 MB
007 [Activity] Tokenization with Google CoLab and HuggingFace_en.srt	19.1 KB
008 [Activity] Positional Encoding.mp4	16.7 MB
008 [Activity] Positional Encoding_en.srt	4.4 KB
009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4	41.7 MB
009 [Activity] Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT_en.srt	13.1 KB
010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace.mp4	72.7 MB
010 [Activity] Using small and large GPT models within Google CoLab and HuggingFace_en.srt	11.0 KB
011 [Activity] Fine Tuning GPT with the IMDb dataset.mp4	89.3 MB
011 [Activity] Fine Tuning GPT with the IMDb dataset_en.srt	13.7 KB
012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4	53.6 MB
012 From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients_en.srt	16.3 KB
013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4	39.6 MB
013 From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation_en.srt	13.2 KB
/13 - The OpenAI API (Developing with GPT and ChatGPT)/
001 Chat-Completions.py	1.2 KB
001 [Activity] The OpenAI Chat Completions API.mp4	73.9 MB
001 [Activity] The OpenAI Chat Completions API_en.srt	25.5 KB
002 Functions.py	3.5 KB
002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API.mp4	64.2 MB
002 [Activity] Using Tools and Functions in the OpenAI Chat Completion API_en.srt	19.5 KB
003 Image.py	0.7 KB
003 [Activity] The Images (DALL-E) API in OpenAI.mp4	31.0 MB
003 [Activity] The Images (DALL-E) API in OpenAI_en.srt	9.0 KB
004 Embedding.py	1.0 KB
004 [Activity] The Embeddings API in OpenAI Finding similarities between words.mp4	34.5 MB
004 [Activity] The Embeddings API in OpenAI Finding similarities between words_en.srt	13.6 KB
005 The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4	30.9 MB
005 The Legacy Fine-Tuning API for GPT Models in OpenAI_en.srt	11.7 KB
006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4	179.0 MB
006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek_en.srt	36.1 KB
006 extract-script.py	1.9 KB
007 MakingData.ipynb	13.9 KB
007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4	334.5 MB
007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!_en.srt	47.0 KB
008 Moderation.py	0.2 KB
008 [Activity] The OpenAI Moderation API.mp4	18.0 MB
009 Audio.py	0.4 KB
009 [Activity] The OpenAI Audio API (speech to text).mp4	30.1 MB
009 [Activity] The OpenAI Audio API (speech to text)_en.srt	8.4 KB
/14 - Retrieval Augmented Generation (RAG)/
001 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4	97.4 MB
001 Retrieval Augmented Generation (RAG) How it works, with some examples_en.srt	38.1 KB
002 Data-RAG.ipynb	102.8 KB
002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4	193.4 MB
002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek_en.srt	41.7 KB
/15 - Final Project/
001 Your final project assignment Mammogram Classification.mp4	54.1 MB
001 Your final project assignment Mammogram Classification_en.srt	14.7 KB
002 Final project review.mp4	67.6 MB
002 Final project review_en.srt	22.8 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/16 - You made it!/
001 More to Explore.mp4	35.6 MB
001 More to Explore_en.srt	7.0 KB
002 Don't Forget to Leave a Rating!.html	0.6 KB
003 Bonus Lecture.html	9.5 KB
/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
Total files 297