Introduction to Machine Learning for Coders
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.
4.1 ( 11 )
Introduction to Random Forests.
Welcome to Introduction to Machine Learning for Coders! Lesson 1 will show you how to create a "random forest" - perhaps the most widely applicable machine learning model - to create a solution to the "Bull Book for Bulldozers" Kaggle competition, which will get you in to the top 25% on the leaderboard. Youll learn how to use a Jupyter Notebook to build and analyze models, how to download data, and other basic skills you need to get started with machine leraning in practice.
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.