Good overview of applied machine learning. Doesn't go too in-depth for each algorithm. Strikes a good balance which is what an "applied" course should do. However, the Jupyter Notebook content tend to have some errors which the curators might have missed. Also, the version of Python and the libraries used are outdated as at the time of me writing this review, hence in some situations I had to refer to deprecated APIs.
Ratings and Reviews for Applied Machine Learning in Python
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Reviews and Ratings
Reviews
This course is outdated by few years and not been updated in general with lots of mistakes in assignments and on slides making it very not ejoyable to use.
Only classification based ML is covered. Regression based ML is non-existant.
Terrible lectures - assignments were good though
Very good introduction, a lot of information but you feel you are learning the foundations of machine learning.
Frankly the quiz questions are ridiculous and no explanation is given why answers are considered incorrect. The wording of the answers is not clear and any from 5 is 120 permutations. You get three attempts and then you have to wait 8 hours. Not great if you are studying part-time. I gave a star for the quality of the video which seemed good although I already know the theory from my university course. However, there was no written material - which again helps answer the questions. This is only a coursera courses, tests should be there to help learning not hinder it.
Overall a good course; I learned a lot. But hard going at times for someone new to Python and Jupiter Notebooks. The time estimates for the module assessments are way under (maybe reasonable if you are already a Python expert and have some familiarity with the relevant libraries, but that's not my situation). File location mismatch between Assignment notebooks environment and submission / assessment environment was very frustrating.
This course was very useful for me.
Good start but i was very boring later on.
The course is full of faulty assignment grader and the concepts given are not up to the mark
