If you are looking to start your career in machine learning then this is the course for you.

This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.

This course has 5 parts as given below:

1. Introduction to Machine Learning & Data Wrangling
2. Linear Models, Trees & Preprocessing
3. Model Evaluation, Feature Selection & Pipelining
4. Bayes, Nearest Neighbours & Clustering
5. SVM, Anomalies, Imbalanced Classes, Ensemble Methods

For the code explained in each lecture, you can find a GitHub link in the resources section.