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

Great course! Really appreciated it, it taught me (and gave me lots of practice) how to use lots of different classifiers for machine learning.

Optional references to the inner workings should be provided. For example how Decision Trees are trained and how the best division is decided.

Excellent course to do an overview of many ML algorithms, and with good assignments that help me to fix all the subjects that I have learned!

From several MOOCs that focus on ML. I love this course to understand the fundamental off ML and I can easily apply this course in my project

Easy for beginner to follow. After finishing the course,I'm able to apply simple machine learning algorithms to area I'm currently working on

This was the best course in the specialization, in my opinion. I think I learned the most and got the most value from the materials in here.

Practical, applied, and a good overview of how to apply different (mainly supervised) machine learning algorithms using python scikit-learn.

Nice Course! Lots of useful information packed in 4 weeks. Be prepared spend some extra time if you want to really benefit from this course.

This course has the perfect combination of theory and practice. It's Intense for a beginner In machine learning but Is absolutely worth It.

This course is the one that I enjoyed most while learning anything in Coursera. Thank you everyone associated with this course and content.

Good course, content and teaching. Very good weekly assignments allow students to well consolidate course contents on real world practices.

It is a good class. I learn a lot from this course. It is a concise starting course for Python machine learning. I recommended this course.

Un excelente curso para reforzar lo aprendido en el curso Minería de Datos para la Toma de Decisiones que se dicta en la Universidad Esan.

Excellent! I had previously done a course on machine learning and it left me with big holes in my knowledge, this really clear things up!

GREAT COURSE!, this is one of the greatest courses for applying machine learning and data science algorithms and skills, great great job.

It was amazing course for applied machine learning. The tutor was good teaching core concepts of machine learning algorithms step by step

Great Course with high practicality. Need more lectures on how to process categorical data. Read the Forum if you encounter any question!

It is really a good one, and I learn a lot here, both for theory and applied skills. And the reading materials are really good resources

This course is great because I received so much training in applying the ML packages and functions python. A lot of hands-on experience!

Great course! Superb professor! Very well organized and structured. Lots of useful optional articles and videos. Learned a lot. Thanks!

A very practical course and it helps me to understand more about machine learning theory. After all, this is a great course. Thank you.

good one to quickly start learning ML - covering models, what they do, and how to tune them. Not going deep into the "how" models work.

Very good survey of all fundamental topics of machine learning! Good resources for preparation for technical data science interview! :)

Great course. Professor delivered very complicated concepts of machine learning very easily. Quiz and assignments were very helpful.

Excellent course. Very detailed, very interesting, a lot to get through in each week. Lots of great examples of code and scenarios.