When I started with Machine Learning I was confused between which ML Algorithm to use for different types of problem statements. Supervised, Unsupervised, and Reinforcement Learning plays an important role in selecting a suitable algorithm. After completing this course by Datacamp I was able to clearly understand the difference between them. Their(Datacamp) main goal is to focus much on the practical side of the topic rather than the theoretical side, that is why it has been my first preference every time I wanted to learn something related to Data Science.

Supervised Learning
Unsupervised Learning

You can also check out the article written by me on the related topics, see if it could be helpful for you:

Supervised, Unsupervised and Reinforcement Learning

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Machine Learning Fiverr