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