Python Machine Learning: Learning Python Machine Learning from Scratch: Implement machine learning models using Python, Numpy, Pandas, Scikit-Learn and more

by Jim Oliver

Do you want to learn Python and start your first Machine Learning project – but you’ve been intimidated by many theoretical definitions and big words, like supervised and unsupervised learning, and neural networks, which you encountered in other books? Do you like to learn amazing new skills by examples? Would you like to have someone show you, hands-on, how Python works and how to use it to build a machine learning model? Are you interested in a guide that shows you what Python can do, step by step, with lots of examples, accompanied by images of what to expect?
If you’ve answered these questions with “yes,” you’ve just found the right book. Our guide to Machine Learning with Python is a detailed manual. It guides you through the Python installation steps; gives instructions on how to work with libraries such as Numpy, Pandas, Matplotlib, Keras, and Tensorflow; and provides a number of algorithms that you can play with until you learn how to write your own.
This book has been written for keen and curious beginners like you – for people who can’t spend months reading about this fascinating subject before they get to work. Our guide is plain and simple, and with it – you’ll start working in Python immediately. Let’s create your first machine learning model together!

220 pages, Kindle Edition

Published April 29, 2019