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09 - 8. Capstone Project/50 - Solution: Capstone project.mp4 53.1 MB
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03 - 2. Python Collections/19 - Python collections: Dictionaries.mp4 19.3 MB
02 - 1. Python Basics/12 - String manipulation.mp4 18.3 MB
06 - 5. NumPy/35 - Indexing and slicing.mp4 17.8 MB
05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.mp4 17.1 MB
05 - 4. pandas DataFrame API/29 - Data visualization.mp4 16.1 MB
06 - 5. NumPy/34 - Array operations.mp4 15.4 MB
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02 - 1. Python Basics/10 - Functions.mp4 13.9 MB
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03 - 2. Python Collections/16 - Python collections: Tuples.mp4 13.4 MB
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02 - 1. Python Basics/13 - Error handling.mp4 12.5 MB
02 - 1. Python Basics/09 - Control structures.mp4 12.3 MB
06 - 5. NumPy/36 - Linear algebra and statistics.mp4 12.3 MB
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5. Working with Python min and max/3. Solution- min and max.mp4 21.7 MB
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~Get Your Files Here !/6. Modules and Packages/1. Working with Modules in Python.mp4 92.7 MB
~Get Your Files Here !/10. Object Oriented Programming (OOP) in Python/7. Operator Overloading in Python.mp4 86.3 MB
~Get Your Files Here !/2. Python Basics/4. Basic Input and Output in Python.mp4 84.4 MB
~Get Your Files Here !/10. Object Oriented Programming (OOP) in Python/6. Multiple inheritance in Python.mp4 76.3 MB
~Get Your Files Here !/1. VS Code Setup/1. Setting Up VS Code.mp4 73.5 MB
~Get Your Files Here !/5. Functions/2. Recursive Functions in Python.mp4 65.3 MB
~Get Your Files Here !/8. File Handling in Python/2. Writing to Files in Python.mp4 64.3 MB
~Get Your Files Here !/10. Object Oriented Programming (OOP) in Python/2. Inheritance in Python.mp4 61.4 MB
~Get Your Files Here !/2. Python Basics/2. Exploring Variables, Constants and Literals.mp4 61.1 MB
~Get Your Files Here !/2. Python Basics/1. Understanding Keywords and Identifiers.mp4 60.7 MB
~Get Your Files Here !/10. Object Oriented Programming (OOP) in Python/4. Encapsulation in Python.mp4 58.1 MB
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收录时间:2020-02-08
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4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
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9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
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1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
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~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4 59.3 MB
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~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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~Get Your Files Here !/8. Project #7 Predicting Diabets using Artifical Neural Networks/3. Implementing the Project using Python - Part 2.mp4 89.1 MB
~Get Your Files Here !/9. Project #8 Image Classification using Deep Learning Algorithms/2. Implementing the Project using Python - Part 1.mp4 87.5 MB
~Get Your Files Here !/9. Project #8 Image Classification using Deep Learning Algorithms/3. Implementing the Project using Python - Part 2.mp4 87.5 MB
~Get Your Files Here !/3. Project #2 HR Salary Calculation using Machine Learning/2. Implementing the Project using Python.mp4 77.3 MB
~Get Your Files Here !/4. Project #3 Handwritten Digit Recognition using Multiple Machine Learning Models/2. Implementing the Project using Python - Part 1.mp4 77.0 MB
~Get Your Files Here !/10. Project #9 Airline Passenger(Time Series) Prediction using Deep Learning/3. Implementing the Project using Python - Part 2.mp4 71.8 MB
~Get Your Files Here !/8. Project #7 Predicting Diabets using Artifical Neural Networks/2. Implementing the Project using Python - Part 1.mp4 64.9 MB
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