Curriculum

A compilation of videos by us, external resources, and more to guide you on your way to learning the basics!

Lesson 1

[Week 1]
ML: What is Machine Learning? 
Python: Intro to Python Syntax

Lesson Plan

Lesson 2

[Weeks 2-3]
ML: Linear Algebra Review
Python: Python Functions

Lesson Plan

Lesson 3

[Weeks 4-6] 
ML: Linear Regression (part i)
Python: Booleans and Conditionals

Lesson Plan

Lesson 4

[Week 7] 
ML: Linear Regression (part ii) and Logistic Regression (part i)
Python: Lists

Lesson Plan

Lesson 5

[Week 8] 
ML: Classification: Logistic Regression (part ii)
Python: Loops and Lists Comprehensions

Lesson Plan

Lesson 6

[Weeks 9-10]
ML: Classification (part ii) and Introduction to Neural Networks 
Python: String and Dictionaries 

Lesson Plan

Lesson 7

[Week 11]
ML: Overview of Clustering and Unsupervised Learning
Python: External Libraries 

Lesson Plan