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Master the basics of AI

SAT Score Range

•

5 sessions

•

+8

This series ended on December 30, 2023. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

For each session, we will go through the basics of artificial intelligence. By the end of this session, you will know the basics to creating a prediction model.

Tutored by

Ashok N 🇺🇸

Certified in 32 topics

View Profile

My name is Ashok N. and I'm here to become a tutor

Schedule

✋ ATTENDANCE POLICY

Please dont miss more than 2 sessions. If you plan on getting something from this series, try to attend all the sessions as AI is a hard concept for many students(especially those who have not much experience in coding) to undertake. My series attempts to let people of all backgrounds understand AI, how it works and how to make it.

SESSION 1

24

Dec

SESSION 1

Artificial Intelligence

Artificial Intelligence

Sun 7:00 PM - 8:00 PM UTCDec 24, 7:00 PM - 8:00 PM UTC

We will go through python basics, and introduce the different libraries.
SESSION 2

26

Dec

SESSION 2

Artificial Intelligence

Artificial Intelligence

Tue 7:00 PM - 8:00 PM UTCDec 26, 7:00 PM - 8:00 PM UTC

We will review python and cover our first model, linear regression, both single variable and multivariable regression.
SESSION 3

27

Dec

SESSION 3

Artificial Intelligence

Artificial Intelligence

Wed 7:00 PM - 8:00 PM UTCDec 27, 7:00 PM - 8:00 PM UTC

We will cover knn, and how it works. By the end of this session you will know how to create a knn model and use it in real life situations
SESSION 4

28

Dec

SESSION 4

Artificial Intelligence

Artificial Intelligence

Thu 7:00 PM - 7:45 PM UTCDec 28, 7:00 PM - 7:45 PM UTC

We will also cover decision tree, a new way to classify data.
SESSION 5

30

Dec

SESSION 5

Artificial Intelligence

Artificial Intelligence

Sat 7:00 PM - 7:30 PM UTCDec 30, 7:00 PM - 7:30 PM UTC

Lastly, as a follow up to decision tree, we will cover random forest and review.

Public Discussion

Please log in to see discussion on this series.

Dec 24 - Dec 30

1 week

30 - 60 mins

/ session

SCHEDULE

Sunday, Dec 24

7:00PM

Tuesday, Dec 26

7:00PM

Wednesday, Dec 27

7:00PM

Thursday, Dec 28

7:00PM

Saturday, Dec 30

7:00PM