Ratings and Reviews for Applied Machine Learning in Python

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I learnt from great learning platform thanks coursera keep doing such courses

This course offers an excellent introduction to practical machine learning. It focuses on how to apply clustering and supervised learning techniques using Python and scikit-learn, with clear explanations and hands-on coding exercises. Key topics such as overfitting, cross-validation, dimensionality, and ensemble methods were covered effectively. The course strikes a great balance between theory and implementation, making it ideal for learners who want to move beyond basic data science concepts and build real predictive models. I highly recommend it to anyone looking to strengthen their applied machine learning skills.

Very poor grading system

The best thing about it is the simplicity of complex things that it provides, so simple yet so much more knowledgeable.

It was summerized and beneficial

Excellent. A very good combination of detailed and global view of all the field.

ok

Difficult Course! Not easy and has a lot of learning. This is is a self study course and is strongly recommended to watch videos, read books, and use other resources. This course is worth the time and effort for how much one can put in. More time put in the better :)

Very useful for me to get the way of step up MIL Algorithms