Learner reviews & feedback for Practical Machine Learning

4.53,267 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.

Featured reviews

4.0Reviewed Nov 16, 2016

Great course. Only missing piece is the working information / maths behind the models. But as the name suggests it teaches practical approach towards machine learning.

5.0Reviewed Aug 13, 2020

recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course

4.0Reviewed Jul 27, 2016

I learned a lot in this class. There are slight gaps from the depth of material covered in the lectures to the quizzes and assignment. If you're good at researching online, you'll be fine.

5.0Reviewed Jun 24, 2017

Awesome course. Would recommend it, but only to those who have a bit of stats and R background. This definitely helped me get a solid enough understanding of using R for machine learning.

5.0Reviewed Feb 18, 2016

Some of the terms used here vary from the terms used in the industry. For example recall, precision etc. Overall this is a very good course with provides basics of machine learning.

5.0Reviewed Jan 16, 2017

excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!

5.0Reviewed Nov 8, 2020

Great introduction to ML.Demands focus and hard work. Forces one to review earlier courses - Statistical Inference, regression models, EDA.Leaves lots of appetite for additional knowledge and skills.

5.0Reviewed Jul 8, 2016

Great primer for machine learning with ample additional resources for those who are interested. I feel this course gave me a solid basis to delve deeper into the topic.

5.0Reviewed Feb 3, 2018

The practical machine learning course is a booster for the data science aspirant.The concept taught by the Prof Jeff Leek is easily understandable. Thank you so much Sir.

5.0Reviewed Nov 13, 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.

5.0Reviewed Feb 21, 2018

A great course that really helps demystify what machine learning is and how anyone can use it to build prediction models and start to answer tough questions using data.

5.0Reviewed Jun 17, 2018

Excellent introduction to basic ML techniques. A lot of material covered in a short period of time! I will definitely seek more advanced training out of the inspiration provided by this class.