Python for Machine Learning: Numpy and K-Nearest Neighbors

In this hands-on workshop, we will learn about the inner working of numpy as we develop our own version of one of the most widely used machine learning algorithms in industry: K-Nearest Neighbors.

Schedule
6:30 – Introductions
6:45 – What is Numpy and why do we use it?
7:00 – Type and Shape of an array
7:15 – Pair Programming
7:30 – Scaling, Adding, and Subtracting Arrays
7:45 – Pair Programming
8:00 – Broadcasting
8:15 – Pair Programming

• *This workshop assumes familiarity with python basics, like how to write a for loop and how to define and call a function