Python Machine Learning: The Beginner's Guide To Learn Python Machine Learning Including Keras, Numpy, Scikit Learn and PyTorch.

by Lilly Trinity

Python is high-level programming, general- purpose language that is increasingly used in data science and the design of machine learning algorithms. This book gives a quick introduction to Python and its libraries such as numpy, scipy, pandas, matplotlib, and how it can be used to develop machine learning algorithms that solve real problems.

In this book, you will discover information and advices on:

What machine learning is
Libraries and Packages used to perform various machine learning tasks
Applications of machine learning
How to install python on your system
Data pre-processing techniques
Techniques and Algorithm used in machine learning
And more...

This book begins with an introduction to machine learning and the Python language and explains how to configure Python and its packages. It also covers all important concepts such as exploratory data analysis, data pre-processing, feature extraction, data visualization, and grouping, classification, regression, and performance evaluation of the model. This book also features several projects that teach techniques and features such as sorting news topics, detecting junk e-mail, forecasting online ad clicks, stock price forecasting, and several other machine learning algorithms.

We have written this book for professionals who are willing to learn the basics of Python and develop applications and software by making use of the machine learning techniques such as grouping, recommendation, and classification. In this book, you will be taught how to solve data problems and implement your solutions using the powerful but simple Python programming language and its packages. After reading this book, you will get a broad overview of the machine learning environment and best practices for machine learning techniques.

Kindle Edition

Published January 2, 2020