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Avis et commentaires pour d'étudiants pour Apprentissage mechanique pratique par Université Johns-Hopkins

3,025 évaluations
574 avis

À propos du cours

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....

Meilleurs avis


Aug 14, 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


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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426 - 450 sur 565 Avis pour Apprentissage mechanique pratique

par Carlos R

May 27, 2018

Great Course! I have learned a lot of new things.

par Steve d P

Mar 20, 2016

Nice, other courses will go more in depth though.

par Stephan H

Aug 12, 2017

Very challenging course. I learned a lot. Tanks.


May 01, 2020

not so pratical based on the current situation

par Manuel C

Dec 26, 2017

I feel I could have master the subjects better

par Rui W

Aug 27, 2017

know some packages of machine learning using R

par Alia E

Jul 13, 2018

Really could have used a few more examples.

par Sakib S

Mar 15, 2019

Include more swirl practice problems.

par Nilrey J D C

Dec 01, 2017

Good introduction to machine learning

par Vincent G

Oct 22, 2017

appropriately challenging material.


Oct 07, 2016

Nice Course for every New candidate

par Tiziano V

May 25, 2017

Interesting the final assignment.

par Rahul K

Mar 07, 2016

Really Well Structured Course!!

par Robert R

Jul 20, 2016

Just the right level of detail

par Erik K

Jul 08, 2019

Very good. Learned a lot

par Bassey O

May 03, 2016

Very informative course.

par Qian W

Sep 09, 2018

need eva on my project

par Javier R

Oct 14, 2017

Love this class !

par Mehul P

Oct 03, 2017

Good ML overview.

par Lilia K R E

Mar 30, 2016

Muy buen curso :)

par Tiberiu D O

Sep 22, 2017

A good course!

par RAO U D K

Sep 17, 2020

Excellent job

par Raymond M

May 02, 2018

pretty good!

par Piyush P

Jul 13, 2017

good context

par Prahlad S

Jun 18, 2020

great hands