Resourceful and succinct guide to understanding vital ML algorithms along with model building and practical use cases for anyone in the field of Data Science.

This article is going to focus on comprehending four widely used ML algorithms, along with their Performance Metrics and Tuning of Hyper-Parameters, which is an integral part of Model Building. The idea is to make this learning process lucid with simplified examples and concise descriptions. However, it is presumed that you have a basic understanding of the terms used in Machine Learning.

The article might seem a little longer than usual but bear with me, I’ve tried to cover each topic extensively so it's definitely worth a read. …

Ruchita Shanbhag

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