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