Machine Learning Theory With Python: Part 1

This Book covers everything you need to know to get started with machine learning in Python.
It has all the theories and explanations of the code in detail.

Prerequisites:
Basic Knowledge of Python
College level mathematics (Linear Algebra, Calculus, Statistics)
Important Python libraries such as NumPy, Pandas, Matplotlib.

Data Analysis is a process of inspecting, cleansing and transforming data with the goal of discovering useful information. This information can prove to be extremely valuable to business and affects lots of business decisions. Machine learning on the other hand trains on that data to predict the outcomes beforehand. This is just one of the many places where the implementation of machine learning can be very useful.

Machine learning is the core subarea of Artificial Intelligence or AI. Machine learning is a field of study that gives computers the ability to learn without being explicitly programmed. It is a rapidly rising field of study in artificial intelligence.
This book covers a lot of theory regarding machine learning and has lots of code samples in python.