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Opening Credits
1/13/2023
Introduction
1/13/2023
Chapter One: Practical Examples of Machine Learning
1/13/2023
Chapter Two: Advantages and Disadvantages of Machine Learning
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Chapter Three: How to Create and Train Machine Learning Models
1/13/2023
Chapter Four: An Introduction to Deep Learning
1/13/2023
Chapter Five: An Introduction to Neural Networks
1/13/2023
Chapter Six: Building Your First Algorithm in Python
1/13/2023
Chapter Seven: How To Build An Algorithm in Python
1/13/2023
Chapter Eight: How To Evaluate Machine Learning Algorithms in Python?
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Chapter Nine: How to Develop a Neural Network in Python using Keras
1/13/2023
Conclusion
1/13/2023
Ending Credits
1/13/2023