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

3,199 évaluations

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


16 janv. 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!


13 août 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

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126 - 150 sur 606 Avis pour Apprentissage mechanique pratique

par Matt S

8 mai 2019

Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.

par Samir G

8 janv. 2017

Excellent course, very practical !

I am very curious about the maths so I will add some specialized certifications

par Jay S

27 août 2016

Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.

par Billy J

13 avr. 2016

Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.


15 oct. 2017

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

par Douglas M

1 févr. 2016

Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!

par Ben S

9 juil. 2018

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

par Philippine R

22 mai 2017

I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!

par asma m

2 oct. 2018

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

par Michael H

21 nov. 2020

Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.

par Mehtab

24 août 2020

this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.

par Akash P

10 mai 2018

Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.


11 juil. 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

par Andrew

23 juil. 2019

Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.

par Julio G C

10 févr. 2018

It is exactly what you need to begin in datascience.

Very good client's service if you've some problem.

par Charbel L

7 sept. 2019

Excellent course. Shows how simple it is to start running models with machine learning...! Well done

par Light0617

4 sept. 2016

great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.

par Channaveer P

20 avr. 2020

Excellent course. Enables student to understand multi variable regression and comparing accuracies.

par Policarpio S

28 mars 2016

I really enjoyed this course. The material was concise and allows me to get up and running with ML.

par Gustavo E L

14 mars 2016

With this course, you can develop an important skill for the final steps of a data science project.

par Yadder A

31 oct. 2019

It's the best course I've taken. It has all the basics about machine learning algorithms and more.

par Amos Y

10 mars 2019

Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice

par Weiqun T

23 sept. 2019

This is a very good basic course for machine learning. I got the basic ideas and skills for it.

par Сетдеков К Р

3 févr. 2020

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

par Krishna P

20 juin 2016

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