Download Machine Learning, Data Science and Deep Learning with Python Torrent

Torrent Contents Size: 7.95 GB

Machine Learning, Data Science and Deep Learning with Python

1. Getting Started

1. Introduction.mp4	MP4	59.6 MB
1. Introduction.srt	SRT	4.75 KB
10. [Activity] Python Basics, Part 4 [Optional].mp4	MP4	21.12 MB
10. [Activity] Python Basics, Part 4 [Optional].srt	SRT	6 KB
11. Introducing the Pandas Library [Optional].mp4	MP4	123.1 MB
11. Introducing the Pandas Library [Optional].srt	SRT	18.05 KB
2. Udemy 101 Getting the Most From This Course.mp4	MP4	19.77 MB
2. Udemy 101 Getting the Most From This Course.srt	SRT	4.04 KB
3. Installation Getting Started.html	HTML	265 B
4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4	MP4	102.76 MB
4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.srt	SRT	18.88 KB
5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4	MP4	96.53 MB
5. [Activity] MAC Installing and Using Anaconda & Course Materials.srt	SRT	14.48 KB
6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4	MP4	80.21 MB
6. [Activity] LINUX Installing and Using Anaconda & Course Materials.srt	SRT	14.66 KB
7. Python Basics, Part 1 [Optional].mp4	MP4	32.98 MB
7. Python Basics, Part 1 [Optional].srt	SRT	7.76 KB
8. [Activity] Python Basics, Part 2 [Optional].mp4	MP4	20.63 MB
8. [Activity] Python Basics, Part 2 [Optional].srt	SRT	7.63 KB
9. [Activity] Python Basics, Part 3 [Optional].mp4	MP4	10.09 MB
9. [Activity] Python Basics, Part 3 [Optional].srt	SRT	4.24 KB

10. Deep Learning and Neural Networks

1. Deep Learning Pre-Requisites.mp4	MP4	74.17 MB
1. Deep Learning Pre-Requisites.srt	SRT	21.52 KB
10. [Activity] Using Keras to Predict Political Affiliations.mp4	MP4	88.2 MB
10. [Activity] Using Keras to Predict Political Affiliations.srt	SRT	21.14 KB
11. Convolutional Neural Networks (CNN's).mp4	MP4	93.09 MB
11. Convolutional Neural Networks (CNN's).srt	SRT	19.86 KB
12. [Activity] Using CNN's for handwriting recognition.mp4	MP4	69.56 MB
12. [Activity] Using CNN's for handwriting recognition.srt	SRT	13.76 KB
13. Recurrent Neural Networks (RNN's).mp4	MP4	69.17 MB
13. Recurrent Neural Networks (RNN's).srt	SRT	18.48 KB
14. [Activity] Using a RNN for sentiment analysis.mp4	MP4	81.36 MB
14. [Activity] Using a RNN for sentiment analysis.srt	SRT	16.82 KB
15. [Activity] Transfer Learning.mp4	MP4	115.26 MB
15. [Activity] Transfer Learning.srt	SRT	21.53 KB
16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4	MP4	18.43 MB
16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.srt	SRT	8.29 KB
17. Deep Learning Regularization with Dropout and Early Stopping.mp4	MP4	33.64 MB
17. Deep Learning Regularization with Dropout and Early Stopping.srt	SRT	11.97 KB
18. The Ethics of Deep Learning.mp4	MP4	128.24 MB
18. The Ethics of Deep Learning.srt	SRT	19.84 KB
19. Learning More about Deep Learning.mp4	MP4	38.64 MB
19. Learning More about Deep Learning.srt	SRT	3.14 KB
2. The History of Artificial Neural Networks.mp4	MP4	79.98 MB
2. The History of Artificial Neural Networks.srt	SRT	19.07 KB
3. [Activity] Deep Learning in the Tensorflow Playground.mp4	MP4	141.58 MB
3. [Activity] Deep Learning in the Tensorflow Playground.srt	SRT	141.62 MB
4. Deep Learning Details.mp4	MP4	64.22 MB
4. Deep Learning Details.srt	SRT	64.25 MB
5. Introducing Tensorflow.mp4	MP4	86.27 MB
5. Introducing Tensorflow.srt	SRT	22.51 KB
6. Important note about Tensorflow 2.html	HTML	1000 B
7. [Activity] Using Tensorflow, Part 1.mp4	MP4	72.69 MB
7. [Activity] Using Tensorflow, Part 1.srt	SRT	13.84 KB
8. [Activity] Using Tensorflow, Part 2.mp4	MP4	108.64 MB
8. [Activity] Using Tensorflow, Part 2.srt	SRT	23.35 KB
9. [Activity] Introducing Keras.mp4	MP4	92.05 MB
9. [Activity] Introducing Keras.srt	SRT	23.75 KB

11. Final Project

1. Your final project assignment.mp4	MP4	51.63 MB
1. Your final project assignment.srt	SRT	11.56 KB
2. Final project review.mp4	MP4	98.5 MB
2. Final project review.srt	SRT	24.51 KB

12. You made it!

1. More to Explore.mp4	MP4	64.06 MB
1. More to Explore.srt	SRT	7.24 KB
2. Don't Forget to Leave a Rating!.html	HTML	564 B
3. Bonus Lecture More courses to explore!.html	HTML	7.32 KB

2. Statistics and Probability Refresher, and Python Practice

1. Types of Data.mp4	MP4	77.25 MB
1. Types of Data.srt	SRT	16.24 KB
10. [Activity] Covariance and Correlation.mp4	MP4	116.74 MB
10. [Activity] Covariance and Correlation.srt	SRT	25.91 KB
11. [Exercise] Conditional Probability.mp4	MP4	125.14 MB
11. [Exercise] Conditional Probability.srt	SRT	28.41 KB
12. Exercise Solution Conditional Probability of Purchase by Age.mp4	MP4	22 MB
12. Exercise Solution Conditional Probability of Purchase by Age.srt	SRT	3.99 KB
13. Bayes' Theorem.mp4	MP4	58.9 MB
13. Bayes' Theorem.srt	SRT	11.49 KB
2. Mean, Median, Mode.mp4	MP4	56.15 MB
2. Mean, Median, Mode.srt	SRT	12.95 KB
3. [Activity] Using mean, median, and mode in Python.mp4	MP4	61.93 MB
3. [Activity] Using mean, median, and mode in Python.srt	SRT	15.01 KB
4. [Activity] Variation and Standard Deviation.mp4	MP4	110.86 MB
4. [Activity] Variation and Standard Deviation.srt	SRT	25.83 KB
5. Probability Density Function; Probability Mass Function.mp4	MP4	30.07 MB
5. Probability Density Function; Probability Mass Function.srt	SRT	7.59 KB
6. Common Data Distributions.mp4	MP4	75.37 MB
6. Common Data Distributions.srt	SRT	16.08 KB
7. [Activity] Percentiles and Moments.mp4	MP4	114.04 MB
7. [Activity] Percentiles and Moments.srt	SRT	28.33 KB
8. [Activity] A Crash Course in matplotlib.mp4	MP4	129.35 MB
8. [Activity] A Crash Course in matplotlib.srt	SRT	28.57 KB
9. [Activity] Advanced Visualization with Seaborn.mp4	MP4	147.81 MB
9. [Activity] Advanced Visualization with Seaborn.srt	SRT	29.96 KB

3. Predictive Models

1. [Activity] Linear Regression.mp4	MP4	100.46 MB
1. [Activity] Linear Regression.srt	SRT	25.7 KB
2. [Activity] Polynomial Regression.mp4	MP4	66.77 MB
2. [Activity] Polynomial Regression.srt	SRT	17.59 KB
3. [Activity] Multiple Regression, and Predicting Car Prices.mp4	MP4	73.85 MB
3. [Activity] Multiple Regression, and Predicting Car Prices.srt	SRT	21.13 KB
4. Multi-Level Models.mp4	MP4	47.47 MB
4. Multi-Level Models.srt	SRT	10.66 KB

4. Machine Learning with Python

1. Supervised vs. Unsupervised Learning, and TrainTest.mp4	MP4	98.61 MB
1. Supervised vs. Unsupervised Learning, and TrainTest.srt	SRT	20.9 KB
10. [Activity] LINUX Installing Graphviz.mp4	MP4	7.05 MB
10. [Activity] LINUX Installing Graphviz.srt	SRT	1.11 KB
11. Decision Trees Concepts.mp4	MP4	86.53 MB
11. Decision Trees Concepts.srt	SRT	21.1 KB
12. [Activity] Decision Trees Predicting Hiring Decisions.mp4	MP4	95.95 MB
12. [Activity] Decision Trees Predicting Hiring Decisions.srt	SRT	22.45 KB
13. Ensemble Learning.mp4	MP4	65.21 MB
13. Ensemble Learning.srt	SRT	14.55 KB
14. Support Vector Machines (SVM) Overview.mp4	MP4	44.74 MB
14. Support Vector Machines (SVM) Overview.srt	SRT	9.88 KB
15. [Activity] Using SVM to cluster people using scikit-learn.mp4	MP4	43.94 MB
15. [Activity] Using SVM to cluster people using scikit-learn.srt	SRT	14.85 KB
2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4	MP4	58.14 MB
2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.srt	SRT	13.11 KB
3. Bayesian Methods Concepts.mp4	MP4	40.73 MB
3. Bayesian Methods Concepts.srt	SRT	8.83 KB
4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4	MP4	89.09 MB
4. [Activity] Implementing a Spam Classifier with Naive Bayes.srt	SRT	17.42 KB
5. K-Means Clustering.mp4	MP4	71.94 MB
5. K-Means Clustering.srt	SRT	17.2 KB
6. [Activity] Clustering people based on income and age.mp4	MP4	57.29 MB
6. [Activity] Clustering people based on income and age.srt	SRT	11.55 KB
7. Measuring Entropy.mp4	MP4	34.97 MB
7. Measuring Entropy.srt	SRT	6.9 KB
8. [Activity] WINDOWS Installing Graphviz.mp4	MP4	2.06 MB
8. [Activity] WINDOWS Installing Graphviz.srt	SRT	689 B
9. [Activity] MAC Installing Graphviz.mp4	MP4	14.83 MB
9. [Activity] MAC Installing Graphviz.srt	SRT	1.26 KB

5. Recommender Systems

1. User-Based Collaborative Filtering.mp4	MP4	86.37 MB
1. User-Based Collaborative Filtering.srt	SRT	19.38 KB
2. Item-Based Collaborative Filtering.mp4	MP4	75 MB
2. Item-Based Collaborative Filtering.srt	SRT	19.99 KB
3. [Activity] Finding Movie Similarities.mp4	MP4	107.83 MB
3. [Activity] Finding Movie Similarities.srt	SRT	20.08 KB
4. [Activity] Improving the Results of Movie Similarities.mp4	MP4	94.86 MB
4. [Activity] Improving the Results of Movie Similarities.srt	SRT	16.78 KB
5. [Activity] Making Movie Recommendations to People.mp4	MP4	132.55 MB
5. [Activity] Making Movie Recommendations to People.srt	SRT	22.61 KB
6. [Exercise] Improve the recommender's results.mp4	MP4	84.23 MB
6. [Exercise] Improve the recommender's results.srt	SRT	13.2 KB

6. More Data Mining and Machine Learning Techniques

1. K-Nearest-Neighbors Concepts.mp4	MP4	40.28 MB
1. K-Nearest-Neighbors Concepts.srt	SRT	8.95 KB
2. [Activity] Using KNN to predict a rating for a movie.mp4	MP4	142.06 MB
2. [Activity] Using KNN to predict a rating for a movie.srt	SRT	28.48 KB
3. Dimensionality Reduction; Principal Component Analysis.mp4	MP4	67.74 MB
3. Dimensionality Reduction; Principal Component Analysis.srt	SRT	12.32 KB
4. [Activity] PCA Example with the Iris data set.mp4	MP4	109.73 MB
4. [Activity] PCA Example with the Iris data set.srt	SRT	21.2 KB
5. Data Warehousing Overview ETL and ELT.mp4	MP4	103.33 MB
5. Data Warehousing Overview ETL and ELT.srt	SRT	19.74 KB
6. Reinforcement Learning.mp4	MP4	132.26 MB
6. Reinforcement Learning.srt	SRT	28.5 KB
6.1 Cat and Mouse Example.html	HTML	140 B
6.2 Pac-Man Example.html	HTML	145 B
6.3 Python Markov Decision Process Toolbox.html	HTML	119 B
7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4	MP4	77.96 MB
7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt	SRT	22.49 KB
8. Understanding a Confusion Matrix.mp4	MP4	14.84 MB
8. Understanding a Confusion Matrix.srt	SRT	9.71 KB
9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4	MP4	25.79 MB
9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt	SRT	10.82 KB

7. Dealing with Real-World Data

1. BiasVariance Tradeoff.mp4	MP4	66.31 MB
1. BiasVariance Tradeoff.srt	SRT	14.4 KB
10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4	MP4	47.91 MB
10. Binning, Transforming, Encoding, Scaling, and Shuffling.srt	SRT	14.21 KB
2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4	MP4	102.34 MB
2. [Activity] K-Fold Cross-Validation to avoid overfitting.srt	SRT	24.54 KB
3. Data Cleaning and Normalization.mp4	MP4	78.75 MB
3. Data Cleaning and Normalization.srt	SRT	17.08 KB
4. [Activity] Cleaning web log data.mp4	MP4	129.38 MB
4. [Activity] Cleaning web log data.srt	SRT	23.78 KB
5. Normalizing numerical data.mp4	MP4	38.2 MB
5. Normalizing numerical data.srt	SRT	7.65 KB
6. [Activity] Detecting outliers.mp4	MP4	36.32 MB
6. [Activity] Detecting outliers.srt	SRT	11.44 KB
7. Feature Engineering and the Curse of Dimensionality.mp4	MP4	41.71 MB
7. Feature Engineering and the Curse of Dimensionality.srt	SRT	11.83 KB
8. Imputation Techniques for Missing Data.mp4	MP4	49.02 MB
8. Imputation Techniques for Missing Data.srt	SRT	14.31 KB
9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4	MP4	36.34 MB
9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.srt	SRT	9.88 KB

8. Apache Spark Machine Learning on Big Data

1. Warning about Java 11 and Spark 2.4!.html	HTML	650 B
10. TF IDF.mp4	MP4	68.85 MB
10. TF IDF.srt	SRT	14.03 KB
11. [Activity] Searching Wikipedia with Spark.mp4	MP4	102.99 MB
11. [Activity] Searching Wikipedia with Spark.srt	SRT	12.85 KB
12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4	MP4	105.68 MB
12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.srt	SRT	13.91 KB
2. Spark installation notes for MacOS and Linux users.html	HTML	3.48 KB
3. [Activity] Installing Spark - Part 1.mp4	MP4	83.63 MB
3. [Activity] Installing Spark - Part 1.srt	SRT	12.04 KB
3.1 winutils.exe.html	HTML	108 B
4. [Activity] Installing Spark - Part 2.mp4	MP4	111.98 MB
4. [Activity] Installing Spark - Part 2.srt	SRT	10.59 KB
4.1 winutils.exe.html	HTML	108 B
5. Spark Introduction.mp4	MP4	89.86 MB
5. Spark Introduction.srt	SRT	21.21 KB
6. Spark and the Resilient Distributed Dataset (RDD).mp4	MP4	98.51 MB
6. Spark and the Resilient Distributed Dataset (RDD).srt	SRT	24.41 KB
7. Introducing MLLib.mp4	MP4	54.74 MB
7. Introducing MLLib.srt	SRT	11.46 KB
8. Introduction to Decision Trees in Spark.mp4	MP4	134.02 MB
8. Introduction to Decision Trees in Spark.srt	SRT	28.1 KB
9. [Activity] K-Means Clustering in Spark.mp4	MP4	117.86 MB
9. [Activity] K-Means Clustering in Spark.srt	SRT	17.73 KB

9. Experimental Design ML in the Real World

1. Deploying Models to Real-Time Systems.mp4	MP4	33.04 MB
1. Deploying Models to Real-Time Systems.srt	SRT	15.42 KB
2. AB Testing Concepts.mp4	MP4	97.49 MB
2. AB Testing Concepts.srt	SRT	97.49 MB
3. T-Tests and P-Values.mp4	MP4	64.92 MB
3. T-Tests and P-Values.srt	SRT	13.16 KB
4. [Activity] Hands-on With T-Tests.mp4	MP4	81.62 MB
4. [Activity] Hands-on With T-Tests.srt	SRT	81.63 MB
5. Determining How Long to Run an Experiment.mp4	MP4	34.84 MB
5. Determining How Long to Run an Experiment.srt	SRT	8.34 KB
6. AB Test Gotchas.mp4	MP4	96.1 MB
6. AB Test Gotchas.srt	SRT	21.88 KB

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Machine Learning, Data Science and Deep Learning with Python

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