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