學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants

What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.

Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.

After this course you will be able to do your own analysis using machine learning which is really great.

Another good course of the specialization. The videos are a little boring but the assignments are good.

Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.

A very good course to start journey on data science. Good combination of reading, lecture and practice.

Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue

Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.

What I loved about this course is the consistency of its content and the quality of its presentation.

Was a great class where I learned to apply existing knowledge about ML to the actual background info!

Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.

It's very impressive.

I suggest If we add a kaggle competition as a overall summery, that'll be great.

In depth understanding is required to complete the assignments. Challenging without being demanding.

Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.

Very Good Course. I'll highly recommended pre requisites are basic knowledge of python programming.

Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.

This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.

Straight to the point for someone who's knowledgeable about machine learning but not python scikit

Course is really good. It is good to learning. But needs to add little more mathematical concepts.

Fantastic course. Contains a wealth of information and provides challenging problems and quizzes.

Still some hard for me both the quiz and assignment, however it is interesting and worth studying

The course is very informative, i particularly like the way the assignments have been structured

Excellent course. Some of the functions used in the course are outdated and not working anymore.

Ce cours vraiment et m'a été d'une très puissant outil d'aide dans ma formation en Data Science