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Practical Machine Learning, Johns Hopkins University

2,223 ratings
435 reviews

About this Course

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation....

Top reviews


Mar 01, 2017

Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.


Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

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429 Reviews

By Sanjeev Kumar

Dec 16, 2018

Introductory course but it explains the basics easily

By André Caetano Luna

Dec 13, 2018

very good practical experience using machine learning models, especially regarding PCA usage

By Carlo G Inovero

Dec 04, 2018

thank you

By Javier Eslava Schmalbach

Dec 02, 2018


By Sulan LIU

Nov 19, 2018

I hope we can have more détails in this cours and to see how to use the algorithms for the big data. Thank you.

By Raunak Shakya

Nov 19, 2018

a very good course for those wanting to learn Machine Learning to implement in Data Science.

By German Rafael Mejia Salgado

Nov 14, 2018

Este es un muy buen curso, aprendes lo básico para poder entrar en el mundo del machine learning y te da la oportunidad de desarrollar modelos realmente útiles.

Recomendado, definitivamente.

By Naman Khurpia

Nov 13, 2018

please remove the checking by students

By Alfonso R Reyes

Nov 13, 2018

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

By adam reiner

Nov 11, 2018

Best course in the data science series. It is practical, so if you are looking for something theoretical this will not be the course for you. Also good introduction the methods for model testing and validation.