1. Introduction to Machine Learning with Keras

Overview

This chapter introduces machine learning with Python. We will use real-life datasets to demonstrate the basics of machine learning, which include preprocessing data for machine learning models and building a classification model using the logistic regression model with scikit-learn. We will then advance our model-building skills by incorporating regularization into our models and evaluating their performance with model evaluation metrics. By the end of this chapter, you will be able to confidently create models to solve classification tasks using the scikit-learn library in Python and evaluate the performance of those models effectively.