Module 1: Introduction to the Basics

Overview

This module consists of a handful of videos that will help you

1. get familiar with some basic tools of machine learning including:
   1. Jupyter Notebooks
   2. Google Colab
   3. Numpy
   4. Pandas
   5. SciKit Learn
2. understand how the kNN (k Nearest Neighbors) algorithm works.
3. write code that uses kNN to solve classification problems.

Git and Github

It is important to both save and share your work and one way to do so is by using Github. In this video we will learn how to create a repository, commit code, and work with markdown files.

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