Ready to add Machine Learning to your skill stack?As the second title in the
Machine Learning From Scratch series, this book teaches you how to code
machine learning models in Python. By working on different projects with
repeatable steps, you will have the blueprints and the effective strategies to
code and design prediction models using your own data.Who is this book for?The
book is designed for beginners with basic background knowledge of machine
learning, including common algorithms such as logistic regression and decision
trees. For a gentle explanation of machine learning theory minus the code, we
suggest reading the first book in this series Machine Learning for Absolute
Beginners (Third Edition), which is written for a more general audience.In
this step-by-step guide you will learn:• How to code a machine learning
prediction model using a range of algorithms including logistic regression,
gradient boosting, and decision trees. • How to install a development
environment and use the programming language Python to code 10 different
models. • How to write your model in the least amount of code possible with
the help of Pandas, Scikit-learn, Matplotlib, and Seaborn. • How to visualize
relationships in your dataset including Heatmaps and Pairplots with just a few
lines of code. Read more