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Kursteilnehmer-Bewertung und -Feedback für Practical Machine Learning von Johns Hopkins University

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2,833 Bewertungen
533 Bewertungen

Über den Kurs

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-Bewertungen

JC

Jan 17, 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!

AD

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.

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126 - 150 von 528 Bewertungen für Practical Machine Learning

von Сетдеков К Р

Feb 03, 2020

Great course! Very useful to train using advanced classification models and ensemble learning.

von Krishna P

Jun 20, 2016

Very good content for beginner, lot of learning in machine learning special caret package in R.

von Gustavo C G

Aug 07, 2019

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

von Theodoros M

Jul 10, 2018

Practical ML is a great course, that provides training in the practical aspects of the topic.

von Wesley E

Feb 15, 2016

Great introduction with a broad set of tools and plenty of resources for more in depth study.

von André C L

Dec 13, 2018

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

von Raunak S

Nov 19, 2018

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

von Tristan F

Dec 25, 2019

Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.

von Oleksandr K

Jul 11, 2018

Great course! However, it would be good to learn about artificial neural networks as well.

von Jean N

Aug 24, 2017

Very nice Course. I am applying it right away for Predictions in the Telecoms environment.

von Rizwan M

Oct 13, 2019

great course. could have explained more techniques in caret package with coding examples

von Connor B

Sep 24, 2019

Really good exposure to machine learning and builds on the previous course in regression

von Alfonso R R

Nov 13, 2018

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

von Brian G

Aug 17, 2017

Great course. Mechanics of the final assignment are more difficult than the work itself.

von Konstantin

Mar 02, 2020

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

von Donson Y

Sep 04, 2017

This is a fantasy course to know that how to build your first machine learning model.

von Jorge M A A

Apr 13, 2016

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

von Premkumar S

Mar 16, 2019

Great course and farily challenging exercises! Thank You for putting this together!!

von Sai S S

Jul 17, 2017

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

von Mary

Aug 19, 2019

Very informational with good variety of code to take back and apply to projects.

von Nikhilesh J

Mar 02, 2018

Provides a quick and dirty look at Machine Learning. An easy way to get started.

von Jeffrey M H

Jun 10, 2019

So far, one of the most fulfilling courses in the Data Science specialization!

von Ajendra S

Nov 08, 2017

This a good course, giving you the inside of the data science problem solving.

von Lei M

Aug 23, 2017

This course is demanding, but I feel my own progress which is very fulfilling.

von Forest W

Jan 09, 2018

Much Better than the previous courses ( Regression and Statistical Inference)