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

4.5
2,642 notes
498 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.

DH

Jun 18, 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.

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226 - 250 sur 489 Examens pour Apprentissage mechanique pratique

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.

par BHAVINKUMAR A P

Jun 13, 2018

excellent platform for online course ..

par Ravi K

Sep 29, 2016

Excellent course for beginner.

par Vitalii S

Aug 01, 2017

No swirl exercises, but last project totally worth my time.

par Muzaffar H

Oct 15, 2017

Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.

par Sai P G

Sep 07, 2017

good

par Theodoros M

Jul 10, 2018

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

par Peter B

Sep 06, 2018

Excellent lectures.

par Pablo L

Sep 20, 2018

Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.

par Shashwat K

Oct 15, 2018

insightfull

par Rebecca K

Sep 24, 2018

This course gave a great basic understanding of some different machine learning algorithms and what they do. I now have a great practical understanding of how to implement them, and enough understanding of theory to know what I'm talking about and to be able to learn more about them in the future.

par Yusuf E

Oct 17, 2018

It would have been nice if there was an introduction to deep learning. Also, linear methods are discussed at length again which is not really necessary. Otherwise, great course to get you started on machine learning applications in R.

par Ted

Oct 18, 2018

Greate course! Lot of things learned!

par Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

par Athanasios S

Aug 09, 2018

Great class! I wish you would do a little more explanation about what methods are best for which scenarios. If you did in fact explain that and it went over my head or I missed it, I apologize. Great class that I learned a lot from.

par Rahimullah S

Oct 28, 2018

thank you, this class is very practical and informative. The projects are a little complicated but very practical.

par Suresh R

Oct 31, 2018

Very good course

par Adam R

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.

par German R M S

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.