Hands On Machine Learning
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and ...
scikit-learn tensorflow keras tutorial
Resource links
Objectives & Highlights

This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in the second edition of my O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow.

Don't forget to tag @ageron in your comment.

Author of the book Hands-On Machine Learning with Scikit-Learn and TensorFlow. Former PM of YouTube video classification and founder & CTO of a telco operator.
Share this project
Similar projects
Optuna: A hyperparameter optimization framework
A lightweight, parallel distributed hyperparameter optimization framework.
Decision Trees
An overview of decision trees with an implementation in scikit-learn.
Mutual Fund Ratings Predictions
To predict the ratings of mutual fund. In order to help investors decide on which mutual fund to pick for an investment.
10 Clustering Algorithms With Python
Clustering or cluster analysis is an unsupervised learning problem.