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

4.5
étoiles
3,200 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

JC

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!

MR

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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201 - 225 sur 607 Avis pour Apprentissage mechanique pratique

par Reza M

9 juil. 2020

Excellent engaging course. At times difficult but very enjoyable

par Alejandro B G

9 févr. 2016

A great Course, my favorite into the Data Science Specialization

par Gary R S

31 déc. 2017

Excellent intro to machine learning with interesting projects.

par PRAKASH J M

25 déc. 2017

Pushed me to learn and experiment and make mistakes. Thank you

par Aleksey K

9 févr. 2016

Made many things clear. Perhaps, the best class in the series.

par Anil P

14 mai 2022

nice course, it enhance the knowledge on machine learning ...

par Anna O

4 nov. 2020

a simple way of real practice of machine learning algorithms.

par Vitalii S

1 août 2017

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

par Rui R

5 févr. 2017

One of the best courses in the Data Science Specialization,

par Jose R C

16 août 2016

The machine learning course every Data Scientist should do.

par Harini A

8 juin 2020

Good course material and very practical oriented training

par Erich F G

14 avr. 2018

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

par Sebastian R

19 sept. 2017

Great intro machine learning, you will know how to use it

par Carlos B

10 août 2017

This was one of the better courses in the series, thanks.

par Anitha C

27 juil. 2017

I enjoyed working on this course. There is a lot good and

par ozan b

21 avr. 2017

Best course of the programme. Simple and explained well.

par Harland H

30 sept. 2018

Very informative and the project was fun to accomplish.

par Ilia S

26 avr. 2016

One of the most valuable courses in the specialization!

par Klever M

29 juil. 2019

It was a great overview of the fascinating word of ML.

par Giovanni M C V

16 févr. 2016

Excellent course with great didactic. Congratulations!

par Julien N

18 déc. 2018

nice pace, good overview to start with modelling in R

par Sanjeev R

16 déc. 2018

Introductory course but it explains the basics easily

par Hawk G

23 déc. 2017

Good solid intro to the concepts of machine learning.

par Dimitrios G

7 juil. 2017

Amazing course. Short videos packed with information!

par antonio q

27 févr. 2018

it was great, simply though exhaustive, thanks a lot