Ratings and Reviews for Applied Machine Learning in Python

nice shiz

Essential curse!

Excellent topic and presenter! I learned a lot about Machine Learning from this class.

One of the best ML courses on the platform. I highly recommend it to all data-science enthusiasts. It would be nice to have pandas data-wrangling skills before tackling the final project as it is a must. Totally enjoyed the final project! was a great learning experience seeing my classifier AUC going from 57 all the way to more than 76 and the impact of feature importance and cleaning on the model performance was eye-opener!

if you have a conceptual knowledge about Machine Learning algorithms, or at least supervise learning, this course would be very helpful for you. Otherwise, you are wasting your time. This course is a programming session , helping you to implement the complicated machine learning algorithms using simple tools, without diving in any details or explain any mathematical backgrounds. So you supposed to build these fundamentals before coming here. For me, I took the wonderful course of Andrew Ng before this. Furthermore, the course is very structured and organized, and its material, quizzes and assignments are greet , thus I consider their notebooks such a good reference I'll back to it every time I solve a ML problem.

Very useful. It's the right course to take after Andrew Ng ML course.

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

great for learning how to practically apply machine learning

Good overview of methods in ML. Would have been nice if the lectures contained a little more mathematical rigor and explanation of why and how the various algorithms are effective.

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.