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Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins

4.5
2,633 notes
497 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

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.

AS

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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126 - 150 sur 489 Examens pour Apprentissage mechanique pratique

par Ozanb

Apr 21, 2017

Best course of the programme. Simple and explained well.

par Araks S

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.

par Chinmoy D

Sep 10, 2017

very nice course, and quite informative too

par Dan K H

Mar 27, 2017

Yet again an excellent course by Jeff, Roger and Brian. Thank you very much for a well layout course and some good excersizes.

par Lei M

Aug 23, 2017

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

par Stephanie D

May 21, 2017

This was definitely a challenging course. I learned a lot about building and testing prediction algorithms. The course also helped me overcome the feeling of intimidation by providing excellent examples and a hands-on final assignment.

par Camilo Y

Mar 14, 2017

This course is a good introduction to machine learning algorithms with R

par UDBODH

May 14, 2016

Nice learning course

par Wesley E

Feb 15, 2016

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

par Jeru

Nov 23, 2016

Beautiful insight into ML

par Nathan M

Jun 11, 2016

Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.

par Hariharan D

Sep 20, 2017

Good course content and practical exercises !!

par Atul K S

Nov 11, 2017

very good from knowledge point of view .

par Carlos P

Sep 14, 2017

Excellent course

par Tai C M

Sep 29, 2017

This is my favourite course in the data science. Prior to taking up this course, I have been using technical analysis to achieve my investment goal. I know how to design trading system to trade. Now with machine learning, I learned something new. System trading is reactive and machine learning is predictive. This subject is the reason why I sign up for data science.

par Shashikesh M

Aug 03, 2017

An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.

par Ajendra S

Nov 08, 2017

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

par Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

par Prakhar P

Jun 06, 2018

This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.

par Rajesh S

Sep 04, 2017

Awsome course!

par Deleted A

Dec 04, 2017

Great Stuff. Learned a LOT!!!

par JEEWESH K J

Oct 09, 2017

Excellent Course

par Ganesh P

May 09, 2018

Very well plan

par Antonio M P

Mar 06, 2018

This is great though it is too fast

par Jean N

Aug 24, 2017

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