學生對 Coursera Project Network 提供的 Predict Employee Turnover with scikit-learn 的評價和反饋

compact course

I was looking for Elaborated explanation of the project and implement it to clear the concept.

This course did explain it all.

A good place to learn the implementation of Random Forest and Decision Trees and how to interpret the results.

the course was designed well and easy to follow. I was hoping to learn a bit more advanced stuff but picked up some useful libraries that I never used it before. Just watch out for little typo when you named a dataset as "data" and next section of the video you called it "hr". The other thing I noticed that if you re-record the videos without you making mistakes along the way would have been much better for students to follow you and save time. cheers,

Really liked it! Up to the point on a useful subject which directly translate into business reality. Within that package you get a very nice and detailed forest of random forest!

Just the perfect course - a well instructed project that helped me exactly with my employee turnover prediction project at work. Thanks from Germany!

I am glad to have taken this course. I came across some unknown features of Pandas (profile), sklearn library. New python libraries like yellowbrick.

I learn a lot in a small amount of time. I would like to see more advanced projects from you!

Excellent course for those who knowledge on the topics mentioned in the content.

Great course. It goes to the point about decision trees and random forests.

very useful project, really enjoyed while doing!

Just right for the basics of Machine Learning

Good Course. Learned a lot. Thanks Sir.

The Course was very productive .

Overall Good Experience

Very Helpful !

great learning

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Very Good

Thank you

THanks

nice

good

good

Best