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學生對 约翰霍普金斯大学 提供的 实用机器学习 的評價和反饋

3,197 個評分
615 條評論


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....




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!



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


151 - 实用机器学习 的 175 個評論(共 606 個)

創建者 Enrique A M


Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.

創建者 Gustavo C G


Excellent introduction to machine learning. Great examples and detailed explanations, as usual

創建者 Theodoros M


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

創建者 Wesley E


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

創建者 André C L


very good practical experience using machine learning models, especially regarding PCA usage

創建者 Raunak S


a very good course for those wanting to learn Machine Learning to implement in Data Science.

創建者 Tristan F


Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.

創建者 Oleksandr K


Great course! However, it would be good to learn about artificial neural networks as well.

創建者 Jean N


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

創建者 Tomer E


Great course!

Covers basics of machine learning algorithms and how to implement them in R.

創建者 Rizwan M


great course. could have explained more techniques in caret package with coding examples

創建者 Connor B


Really good exposure to machine learning and builds on the previous course in regression

創建者 Alfonso R R


Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

創建者 Brian G


Great course. Mechanics of the final assignment are more difficult than the work itself.

創建者 Paresh P


Explained practical machine learning well, concepts like model stacking really helped!

創建者 Sean D


Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.

創建者 Konstantin


Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

創建者 Donson Y


This is a fantasy course to know that how to build your first machine learning model.

創建者 Jorge A


I enjoyed a lot this module, I'll use at my daily work some of the features I learned

創建者 Premkumar S


Great course and farily challenging exercises! Thank You for putting this together!!

創建者 Sai S


Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

創建者 Thet P S A


It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

創建者 Mary


Very informational with good variety of code to take back and apply to projects.

創建者 Nikhilesh J


Provides a quick and dirty look at Machine Learning. An easy way to get started.

創建者 Jeffrey M H


So far, one of the most fulfilling courses in the Data Science specialization!