AI Introduction
SAT Score Range
•
4 sessions
•
AR
HP
SM
+2
This series ended on December 14, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
In this course, we will learn the basics of artificial intelligence and how it can be applied to various real-world scenarios. Topics will range from using numpy to linear regression to classification to more advanced topics.
We will not be implementing models from scratch. Generally, in machine learning, we use certain premade code that applies to most situations. Instead, we'll use premade libraries that allow us to tweak the model with various hyperparameters.
It's okay if you don't know all of these terms, you will learn them all in the course :)
Prerequisites:
Knowledge of basic python/coding (roughly 50 hours): variables, functions, loops, using libraries; of course, you can still join the class without knowing all of this, but it will be much harder to follow along. w3schools.com is a great resource to learn python quickly.
Tutored by
Sessions
✋ ATTENDANCE POLICY
You must message me, either in a direct message or the group chat, if you will be absent from class. I will excuse all absences, but if you do not let me know beforehand, I will withdraw you from the session.
*I will not withdraw anyone if the session is not full
SESSION 1
26
Nov
SESSION 1
Artificial Intelligence
Artificial Intelligence
Wed 12:30 AM - 1:30 AM UTCNov 26, 12:30 AM - 1:30 AM UTC
Intro to Machine learning/AI
Supervised Learning
Unsupervised Learning
Definitions
Machine learning pipeline/process
SESSION 2
30
Nov
SESSION 2
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCNov 30, 6:00 PM - 7:00 PM UTC
Libraries + Google Colab
Linear Regression
Gradient Descent
Project
SESSION 3
7
Dec
SESSION 3
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCDec 7, 6:00 PM - 7:00 PM UTC
Logistic Regression
Classification
SESSION 4
14
Dec
SESSION 4
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCDec 14, 6:00 PM - 7:00 PM UTC
Overview of more advanced topics