Skip to content

Latest commit

 

History

History
13 lines (8 loc) · 653 Bytes

README.md

File metadata and controls

13 lines (8 loc) · 653 Bytes

pybootcamp

Python bootcamp for Health Informatics - Summer 2023

This repository contains code and resources related to the "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" 3rd edition book by Aurélien Géron.

Chapter 1: The Machine Learning Landscape

In this chapter, we introduce the basics of machine learning and discuss the various types of machine learning algorithms and their applications. (The code files can be found as USERNAME_day1.ipynb or USERNAME_1.ipynb)

(As we progress, I will upload the details about the chapters here for the quick review)

Additional Resources: https://github.com/ageron/handson-ml3