PROMO: Discounts may be available based on enrollment. Email or chat for details. 

This level 2 class will focus on Python's applications for machine learning and automation. Machine learning and automation are some of the most popular buzzwords around the business world these days with Wall Street-ers and big tech so focused on machine learning and automation. 

This course will begin with linear and logistic regression, the most time-tested and reliable tools for approaching a machine learning problem. The course will then progress to algorithms with a very different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. You’ll also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

Class Notes

  • Schedule: Every weekday from 10 am — 1 pm for two weeks

  • Method of Delivery: Live Online (live-streamed with the ability to ask questions and interact with instructor real-time). 

  • Prerequisites & Ages: This course assumes knowledge equivalent to our Python Summer Level 1 course which covers the fundamentals of Python programming and basic analytics in Python.

  • Computer: Live online attendees should have their own Mac or PC. We will assist with any software setup prior to the course.