Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results

Introduction
Chapter 1: Machine Learning
	What Is Machine Learning Really?
		Types of Machine Learning
		More Categories of Machine Learning
		Machine-Learning Challenges
		Present Day Examples
Chapter 2: Coding with Python
	Fundamental Programming
		Setup
		Initializing PyCharm
		Data Structures
		Advanced Programming
	Revisiting Mathematical Concepts
		Vectors
		Matrices
		Basic Statistics
		Probability
		Distribution
	Data Analysis – Foundation of Machine Learning
		Python Libraries for Data Analysis
		The Pandas Framework
	Machine-Learning Projects
		Predicting If a Country’s GDP is Related to Its Better Life Index
		Predicting Real Estate Prices for Investment
Chapter 3: Working with Raspberry Pi
	What is Raspberry Pi?
		Selecting the Model
		Hardware Components
	First Project
		Installation and Setup
		Remote Access to Raspberry Pi
		Using Camera with Raspberry Pi
		Sending and Receiving Signals Using GPIO of the Raspberry Pi
Chapter 4: Working with TensorFlow
	The Projects
		Project #1: Predicting Student Grade
		Project #2: Predicting Student Grade
		Project #3: Neural Network using TensorFlow
Chapter 5: Advanced Machine Learning
	A Corporate Project
		Create a Predictive Chat Bot
Conclusion
	Where Will Machine Learning Be in the Next 20 Years?
References
Appendix A: Machine-Learning Concepts