Python Machine Learning
Projects
DigitalOcean, New York City, New York, USA
Python Machine Learning
Projects
1. Foreword
2. Setting Up a Python Programming Environment
3. An Introduction to Machine Learning
4. How To Build a Machine Learning Classifier in Python with
Scikitlearn
5. How To Build a Neural Network to Recognize Handwritten Digits
with TensorFlow
6. Bias-Variance for Deep Reinforcement Learning: How To Build a
Bot for Atari with OpenAI Gym
Foreword
As machine learning is increasingly leveraged to find patterns,
conduct analysis, and make decisions without final input from
humans, it is of equal importance to not only provide resources to
advance algorithms and methodologies, but to also invest in bringing
more stakeholders into the fold. This book of Python projects in
machine learning tries to do just that: to equip the developers of
today and tomorrow with tools they can use to better understand,
evaluate, and shape machine learning to help ensure that it is serving
us all.
This book will set you up with a Python programming environment
if y o u don’t have one already, then provide you with a conceptual
understanding of machine learning in the chapter “An Introduction
to Machine Learning.” What follows next are three Python machine
learning projects. They will help you create a machine learning
classifier, build a neural network to recognize handwritten digits,
and give you a background in deep reinforcement learning through
building a bot for Atari.
These chapters originally appeared as articles on DigitalOcean
Community, written by members of the international software
developer community. If you are interested in contributing to this
knowledge base, consider proposing a tutorial to the Write for
DOnations program at do.co/w4do. DigitalOcean offers payment to
authors and provides a matching donation to tech-focused
nonprofits.
Setting Up a Python
Programming Environment
Written by Lisa Tagliaferri
Python is a flexible and versatile programming langu
Python_ Machine Learning Projects_MOUSAIF, YASSINE.pdf