Machine Learning using Python EBook

Python is a general-purpose high-level programming language that is being increasingly used in data science and in designing machine learning algorithms. This eBook provides a quick introduction to Python and its libraries like numpy, scipy, pandas, and matplotlib and explains how it can be applied to develop machine learning algorithms that solve real-world problems.

This eBook starts with an introduction to machine learning and the Python language and shows you how to set up Python and its packages. It further covers all important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation.

This eBook also provides various projects that teach you techniques and functionalities such as news topic classification, spam email detection, online ad clickthrough prediction, stock price forecasts and several other important machine learning algorithms.

Audience:

This eBook has been prepared for professionals aspiring to learn the basics of Python and develop applications involving machine learning techniques such as recommendation, classification, and clustering. Through this eBook, you will learn to solve data-driven problems and implement your solutions using the powerful yet simple programming language, Python and its packages. After completing this eBook, you will gain a broad picture of the machine learning environment and the best practices for machine learning techniques.

Prerequisites:

Before you start proceeding with this eBook, we assume that you have prior exposure to Python, Numpy, pandas, scipy, matplotlib, Windows and any of the Linux operating system flavours. If you are new to any of these concepts, we recommend you take up an eBook concerning these topics before you dig further into this eBook.