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Ratings and Reviews for Applied Machine Learning in Python

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Reviews and Ratings

4.6

7655 Ratings from Coursera

Reviews

helpfull, but so many information in little time. Difficult to get clarified the ideas behind
it's very good explanation about how we use Machine Learning in real-life problem.
I had no ML background, although I have the math the models are based on. The material seemed more than week's worth for a couple of weeks. The quizzes make sure you don't miss the key points you need to take away and need for the assignment. Most information or key words are in the slides, but course expects you to be independent enough (intermediate) to learn closely related ideas on your own via StackOverFlow and discussion forums. The discussion forums were especially helpful for this course, but then online discussions makes it more studying alone. Discussions helped me trouble-shoot and get better ideas how to approach the problems generally. I can explore and use ML and sklearn on my own, which thankfully seems to be a goal of this professor. No material could be left out, but when more videos, better longer time estimate for the week would be nice.
Unfortunately, for me, this course (not the specialization) seems to be a \"review of\" Applied Machine Learning in Python\" rather than \"teaching\" Applied Machine Learning in Python. Some codes used in the notebook were skipped by the instructor.
An excellent course if you are prepared to be patient and do lots of additional research outside the given content.
The course content was good and the assignments were designed brilliantly. I learned more while completing assignments and reading discussion forums. The auto-grader should be improved, it's time wasting and frustrating experience. No response from discussion forums even on technical issues can keep you waiting for weeks unless you solve the issue by your own by reading 2- 3 years old post and meanwhile lost money, time and patience.
A good stepping stone towards a career in data science.
Very Good
A good introduction to Scikit learn
How can i pass without reading discuss about problem with notebook

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