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Introduction to Machine Learning for Coders

Other, , Prof. Jeremy Howard

Updated On 02 Feb, 19

Overview

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.

Includes

Lecture 1: Intro to Machine Learning: Lesson 1

4.1 ( 11 )


Lecture Details

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.

Ratings

5.0


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Comments
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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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