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Udemy - Machine Learning, Data Science and Deep Learning with Py…

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7.7 GB

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0AABAF0A4D614C15524F6E0A51897B3E70DF722D

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June 2, 2023, 6:44 a.m.

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| (Last updated: Oct. 28, 2026, 5:55 p.m.)

File	Size
1. Getting Started/1. Introduction.mp4	59.6 MB
1. Getting Started/1. Introduction.srt	4.7 KB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].mp4	21.1 MB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].srt	21.1 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4	123.1 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].srt	18.0 KB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4	19.8 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	265 bytes
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4	102.8 MB
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.srt	18.9 KB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4	96.5 MB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.srt	14.5 KB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4	80.2 MB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.srt	14.7 KB
1. Getting Started/7. Python Basics, Part 1 [Optional].mp4	33.0 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	20.6 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	10.1 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	74.2 MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.srt	21.5 KB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.mp4	88.2 MB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.srt	21.1 KB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).mp4	93.1 MB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).srt	19.9 KB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.mp4	69.6 MB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.srt	13.8 KB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).mp4	69.2 MB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).srt	18.5 KB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.mp4	81.4 MB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.srt	16.8 KB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4	115.3 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.srt	21.5 KB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4	18.4 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	33.6 MB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.srt	12.0 KB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4	128.2 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.srt	19.8 KB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.mp4	38.6 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	80.0 MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.srt	19.1 KB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4	141.6 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt	19.7 KB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4	64.2 MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.srt	16.8 KB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4	64.2 MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.srt	20.2 KB
10. Deep Learning and Neural Networks/6. Important note about Tensorflow 2.html	644 bytes
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4	118.2 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.srt	23.5 KB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4	104.5 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.srt	21.6 KB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.mp4	92.1 MB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.srt	23.7 KB
11. Final Project/1. Your final project assignment.mp4	51.6 MB
11. Final Project/1. Your final project assignment.srt	11.6 KB
11. Final Project/2. Final project review.mp4	98.5 MB
11. Final Project/2. Final project review.srt	24.5 KB
12. You made it!/1. More to Explore.mp4	64.1 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 bytes
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.mp4	77.2 MB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.srt	16.2 KB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4	116.7 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.srt	25.9 KB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4	125.1 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.srt	28.4 KB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4	22.0 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	58.9 MB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.srt	11.5 KB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4	56.1 MB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.srt	13.0 KB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.mp4	61.9 MB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.srt	15.0 KB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4	110.8 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.srt	25.8 KB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.mp4	30.1 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.mp4	75.4 MB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.srt	16.1 KB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4	114.0 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.srt	28.3 KB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4	129.3 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.srt	28.6 KB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4	147.8 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.srt	30.0 KB
3. Predictive Models/1. [Activity] Linear Regression.mp4	100.5 MB
3. Predictive Models/1. [Activity] Linear Regression.srt	25.7 KB
3. Predictive Models/2. [Activity] Polynomial Regression.mp4	66.8 MB
3. Predictive Models/2. [Activity] Polynomial Regression.srt	17.6 KB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.mp4	73.9 MB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.srt	21.1 KB
3. Predictive Models/4. Multi-Level Models.mp4	47.5 MB
3. Predictive Models/4. Multi-Level Models.srt	10.7 KB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4	98.6 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.srt	20.9 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	86.5 MB
4. Machine Learning with Python/11. Decision Trees Concepts.srt	21.1 KB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4	95.9 MB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.srt	22.4 KB
4. Machine Learning with Python/13. Ensemble Learning.mp4	65.2 MB
4. Machine Learning with Python/13. Ensemble Learning.srt	14.5 KB
4. Machine Learning with Python/14. Support Vector Machines (SVM) Overview.mp4	44.7 MB
4. Machine Learning with Python/14. Support Vector Machines (SVM) Overview.srt	9.9 KB
4. Machine Learning with Python/15. [Activity] Using SVM to cluster people using scikit-learn.mp4	46.7 MB
4. Machine Learning with Python/15. [Activity] Using SVM to cluster people using scikit-learn.srt	16.7 KB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4	58.1 MB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.srt	13.1 KB
4. Machine Learning with Python/3. Bayesian Methods Concepts.mp4	40.7 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	89.1 MB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.srt	17.4 KB
4. Machine Learning with Python/5. K-Means Clustering.mp4	71.9 MB
4. Machine Learning with Python/5. K-Means Clustering.srt	17.2 KB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp4	57.3 MB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.srt	11.5 KB
4. Machine Learning with Python/7. Measuring Entropy.mp4	35.0 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 bytes
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.mp4	14.8 MB
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.srt	1.3 KB
5. Recommender Systems/1. User-Based Collaborative Filtering.mp4	86.4 MB
5. Recommender Systems/1. User-Based Collaborative Filtering.srt	19.4 KB
5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4	75.0 MB
5. Recommender Systems/2. Item-Based Collaborative Filtering.srt	20.0 KB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4	107.8 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.srt	20.1 KB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4	94.9 MB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.srt	16.8 KB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4	132.6 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.srt	22.6 KB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4	84.2 MB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.srt	13.2 KB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4	40.3 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	142.1 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.srt	28.5 KB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4	67.7 MB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.srt	12.3 KB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4	109.7 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.srt	21.2 KB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4	103.3 MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.srt	19.7 KB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4	132.3 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.srt	28.5 KB
6. More Data Mining and Machine Learning Techniques/6.1 Python Markov Decision Process Toolbox.html	119 bytes
6. More Data Mining and Machine Learning Techniques/6.2 Pac-Man Example.html	145 bytes
6. More Data Mining and Machine Learning Techniques/6.3 Cat and Mouse Example.html	140 bytes
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4	78.0 MB
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt	22.5 KB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4	14.8 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	25.8 MB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt	10.8 KB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4	66.3 MB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.srt	14.4 KB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4	47.9 MB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.srt	14.2 KB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4	102.3 MB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.srt	24.5 KB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4	78.7 MB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.srt	17.1 KB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4	129.4 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.srt	23.8 KB
7. Dealing with Real-World Data/5. Normalizing numerical data.mp4	38.2 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	36.3 MB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.srt	11.4 KB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4	41.7 MB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.srt	38.1 MB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4	49.0 MB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.srt	14.3 KB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4	36.3 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 bytes
8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4	68.8 MB
8. Apache Spark Machine Learning on Big Data/10. TF IDF.srt	14.0 KB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4	103.0 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.srt	12.9 KB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4	105.7 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.srt	13.9 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	83.6 MB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.srt	12.0 KB
8. Apache Spark Machine Learning on Big Data/3.1 winutils.exe.html	108 bytes
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4	112.0 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.srt	10.6 KB
8. Apache Spark Machine Learning on Big Data/4.1 winutils.exe.html	108 bytes
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4	89.9 MB
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.srt	21.2 KB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4	98.5 MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).srt	24.4 KB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.mp4	54.8 MB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.srt	54.8 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4	134.0 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.srt	28.1 KB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4	117.9 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.srt	17.7 KB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4	33.0 MB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.srt	15.4 KB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4	97.5 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.srt	20.2 KB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4	64.9 MB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.srt	13.2 KB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4	81.6 MB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.srt	13.7 KB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4	34.8 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	96.1 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.srt	21.9 KB
[FreeAllCourse.Com].URL	228 bytes

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