Description
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:
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Introduction to Machine Learning & Data Wrangling
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Linear Models, Trees & Preprocessing
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Model Evaluation, Feature Selection & Pipelining
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Bayes, Nearest Neighbours & Clustering
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SVM, Anomalies, Imbalanced Classes, Ensemble Methods
For the code explained in each lecture, you can find a GitHub link in the description section of each video.