Book Machine Learning Project: House Prices

This is a book on Data Science and Machine Learning applied to a House Prices Dataset.

We begin with the EDA (Exploratory Data Analysis) of the data, we create a script to clean the data, then we use the cleaned data to create a Machine Learning Model, and finally we use the Machine Learning model to implement our own prediction API.

This book comes with a full source code linked in the book with clear instructions to execute this end-to-end project.