This book provides the concept of machine learning with mathematical explanations and programming examples. Every chapter starts with the fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages to the data. \nIn this book, we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is free and open-source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for a large amount of data and suitable for big data technologies.