A course that describes the basics of machine learning, along with the downloadable coding exercises on each topic.

What you'll learn:
Describe various types of machine learning algorithms and their usages.
Understanding supervised (classification & regression) and unsupervised learning (clustering) and their applications.
Learn various supervised & unsupervised learning algorithms, such as, KNN, SVM, Simple and Multiple linear regressions, k-means clustering etc.
Various evaluation metrics used for classification and improvising the performance of your model.
Lab exercises with each video topic to write python code that implements these algorithms..

Requirements:
You should know basics of any programming language, but python is preferred.

https://www.udemy.com/course/machine-learning-with-python-from-styrish-ai