Highly recommended. Great practical overview of machine learning approaches.One shouldn't expect the underlying implementations from this course due to the time strain - only a few weeks, and should take Andrew Ng's machine learning class for that.To go even deeper for some methods, one should take more machine learning classes.
Ratings and Reviews for Applied Machine Learning in Python
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Reviews and Ratings
Reviews
Helped me understand the fundamental concepts and practice them with assignemens. I highly recommend this course.
Exhaustive and in depth coverage
Thank you Kevyn!
Good introduction into the scikit learn package, took way more time than advertised but I also learned more than expected.I contrast to course 1, the assignments were easier, but the quizes were harder. Distribution of materials could have been better: week 2 has by far the most material to digest and learn.
It would have been wonderful if the notebook codes were written and explained in the video the same way as in earlier courses in specialisation taking care of the implementation details as well.However still a Good Course of the Specialisation.
I am just about to begins my Module 2 but I have realized that how much easy to understand and to the point course is. I would love complete it and be the proud scientist. Thanks.
Well designed for practicing, helps a lot in applying ML in python
It's very impressive.
I suggest If we add a kaggle competition as a overall summery, that'll be great.
Follow the course with introduction to ML with python to have descent understanding. Instructor won't be able to keep one interested for long. Exercises could have been tougher.
