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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

Complete course on supervised learning Would be nice to cover PCA and unsupervised learning in the assignments
Very Good and Relevant Course. Professor and TAs are very helpful.
Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way
best I think
Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.
Fantastic course! Great foundation on scikit-learn. Really focused on APPLYING machine learning with just enough information about the models themselves to understand what's going on behind the scenes.
Excellent high level advance course with in depth explanations. It is well structured. It learn me to applied Machine learning from very basics to optimum level. It help me to understand details of Machine Learning in Python.
Great course. The material is well thought, the assignments are excellent. I learned a lot and I am already leveraging what I learned in the course at work.
This was a very practical course with a lot of useful stuff! My main frustration was that the final assignment could have used more starter code, as I spent way more time trying to get the data to load properly than I did on finding a model to score high enough for full marks
I'm disappointed that I took this class, poor design and delivery. Machine Learning is an exciting and fun topic, but you'd never guess it from this class, and the way the instructor delivers the content. It's a shame that the designers want to throw every possible model at you in 1 or 2 weeks, before having a discussion on model evaluation. This course focuses more on the academic than the practical, and doesn't try to explain these topics in an approachable manner. There are far better and engaging options available.

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