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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
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6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4 200.2 MB
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4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4 168.7 MB
4. Module 4 Python Programming Language/11. Hands-On.mp4 164.3 MB
6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4 148.8 MB
4. Module 4 Python Programming Language/8. String and List Data Type.mp4 146.4 MB
4. Module 4 Python Programming Language/14. Hands-On.mp4 145.2 MB
2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4 145.0 MB
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8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4 138.8 MB
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6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp4 104.3 MB
4. Module 4 Python Programming Language/12. Hands-On.mp4 103.2 MB
4. Module 4 Python Programming Language/3. Advantages and facts about python.mp4 98.2 MB
2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp4 97.1 MB
4. Module 4 Python Programming Language/2. Introduction to Python.mp4 86.4 MB
5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp4 84.6 MB
6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp4 82.3 MB
5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp4 69.9 MB
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4. Flow Control/7. default arguments, keyword arguments.mp4 36.1 MB
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4. Flow Control/6. defining function.mp4 35.2 MB
6. Modules/7. Packages.mp4 31.2 MB
3. Let's get started/1. Using Python as calculator.mp4 29.9 MB
5. Data structures/4. Lists 3.mp4 28.9 MB
5. Data structures/2. Lists 1.mp4 27.0 MB
3. Let's get started/3. Strings 1.mp4 24.2 MB
6. Modules/1. Modules.mp4 22.1 MB
3. Let's get started/6. First steps toward programming.mp4 20.2 MB
5. Data structures/7. Dictionary and Looping Techniques.mp4 20.1 MB
4. Flow Control/3. Range, enumerate and list.mp4 16.3 MB
5. Data structures/1. Digressions.mp4 16.1 MB
6. Modules/3. More on modules.mp4 15.8 MB
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8. Error and Exceptions/2. Handling Exceptions.mp4 14.3 MB
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[TutsNode.com] - Thinking Recursively in Python/Pt 4 - Maintaining State.mp4 9.3 MB
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[TutsNode.com] - Thinking Recursively in Python/Recursion_-_Slides.pdf 681.5 kB
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008. Project Resizing images.mp4 390.5 MB
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11. Milestone Project - 2/11. Solution Walkthrough - Functions for Game Play.mp4 136.4 MB
14. Advanced Python Modules/3. Opening and Reading Files and Folders (Python OS Module).mp4 130.8 MB
11. Milestone Project - 2/10. Solution Walkthrough - Hand and Chip Classes.mp4 106.2 MB
12. Python Decorators/1. Decorators with Python Overview.mp4 102.6 MB
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10. Errors and Exceptions Handling/1. Errors and Exception Handling.mp4 94.5 MB
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11. Milestone Project - 2/9. Solution Walkthrough - Card and Deck classes.mp4 87.6 MB
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14. Advanced Python Modules/8. Python Regular Expressions Part Two.mp4 74.5 MB
14. Advanced Python Modules/9. Python Regular Expressions Part Three.mp4 69.8 MB
14. Advanced Python Modules/5. Python Math and Random Modules.mp4 69.0 MB
14. Advanced Python Modules/10. Timing Your Python Code.mp4 62.0 MB
14. Advanced Python Modules/13. Advanced Python Module Puzzle - Solution.mp4 61.7 MB
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