Lecture 1_Index

This lecture contains the Basic Governing Topics of Machine Learning $(ML)$ in order to grasp the flow and methodology of a simple structure of how an algorithm works and flows. The topics are as follows:

Supervised vs Unsupervised Learning:

Regression and Classification:

Clustering:

Training the Model: