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13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4 78.7 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4 68.4 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4 68.3 MB
12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
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~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 49.9 MB
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~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 29.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 27.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 27.2 MB
~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 24.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 24.6 MB
~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 24.4 MB
~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.mp4 23.9 MB
~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 23.5 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 22.0 MB
~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 20.6 MB
~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.mp4 16.7 MB
~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 14.3 MB
~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.8 MB
~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.6 MB
~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .mp4 12.2 MB
~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.mp4 12.1 MB
~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 12.0 MB
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6. Python Basics V/2. Topic 2.mp4 83.6 MB
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3. Python Basics II/4. Topic 4.mp4 48.7 MB
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5. Python Basics IV/1. Topic 1.mp4 34.9 MB
5. Python Basics IV/4. Topic 4.mp4 32.9 MB
3. Python Basics II/3. Topic 3.mp4 28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
5. Python Basics IV/2. Topic 2.mp4 27.4 MB
3. Python Basics II/2. Topic 2.mp4 26.7 MB
9. Available Machine Learning Tools/2. Topic 2.mp4 23.8 MB
2. Python Basic I/4. Topic 2.mp4 22.3 MB
2. Python Basic I/2. Installation.mp4 21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
5. Python Basics IV/3. Topic 3.srt 18.0 MB
5. Python Basics IV/3. Topic 3.mp4 18.0 MB
4. Python Basics III/1. Topic 1.mp4 17.0 MB
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10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
10 Machine Learning/089 Natural Language Processing Part 3.mp4 146.2 MB
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10 Machine Learning/090 Natural Language Processing Part 4.mp4 106.8 MB
10 Machine Learning/079 Logistic Regression Part 4.mp4 102.7 MB
09 Example Projects/065 Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10 Machine Learning/088 Natural Language Processing Part 2.mp4 92.7 MB
10 Machine Learning/083 Support Vector Machines - Part 2.mp4 90.0 MB
11 Appendix Statistics Overview/099 Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10 Machine Learning/075 Linear Regression Part 4.mp4 82.5 MB
10 Machine Learning/081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10 Machine Learning/076 Logistic Regression Part 1.mp4 75.3 MB
10 Machine Learning/074 Linear Regression Part 3.mp4 72.2 MB
10 Machine Learning/080 Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10 Machine Learning/087 Natural Language Processing Part 1.mp4 68.9 MB
10 Machine Learning/085 Naive Bayes Part 2.mp4 68.7 MB
10 Machine Learning/082 Support Vector Machines Part 1.mp4 68.1 MB
08 Data Visualization/049 Kernel Density Estimate Plots.mp4 64.9 MB
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~Get Your Files Here !/05 Data wrangling with Pandas/05-string-and-math-manipulations.mp4 25.8 MB
~Get Your Files Here !/07 Data IO (input and output)/02-reading-non-tabular-excel-files.mp4 23.1 MB
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[TutsNode.com] - Rigging The Jaw with Python in Maya/11 Jaw Skinning.mp4 586.4 MB
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[TutsNode.com] - Rigging The Jaw with Python in Maya/06 Seal And Jaw Attribute.mp4 239.6 MB
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05.Collections/11.Set.mp4 19.2 MB
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03.Modularity/05.Main-Functions-and-Command-Line-Arguments.mp4 15.9 MB
10.Shipping-Working-and-Maintainable-Code/03.Distributing-Your-Programs.mp4 15.6 MB
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3. Importing & Parsing JSON Files/5. Demo - Putting It All Together (Part 1).mp4 29.7 MB
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