Intro to AI & Machine Learning with Python

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Intro to AI & Machine Learning with Python

SAT Score Range

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8 sessions

•

+43

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🔥 4 spots left!

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About

In this hands-on introductory course, students will explore the basics of Artificial Intelligence and Machine Learning using Python. Over 5 weeks, learners will engage with real-world datasets, build their own ML models, and understand key concepts like classification, data cleaning, and model evaluation. Each session includes guided coding, live demos, and interactive discussions. No prior AI experience needed—just curiosity and basic Python skills! Please message me if you want any date/time flexibility!

Tutored by

Ayushi A 🇺🇸

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Hey everyone! I am a sophomore at high school, from Los Angeles, California. I play basketball and I love to take part in Speech and Debate tournaments. I like to volunteer for different causes in my free time. I am here to help others with STEM and other subjects!

Schedule

Upcoming

All

✋ ATTENDANCE POLICY

You will be withdrawn from the series if you have more than 2 unexcused absences in a row. Please message me in advance for any absences!

SESSION 1

14

Jun

SESSION 1

Artificial Intelligence

Sat 3:00 PM - 3:40 PM UTCJun 14, 3:00 PM - 3:40 PM UTC

- What is Artificial Intelligence?
- What is Machine Learning? (supervised vs unsupervised)
- Real-world examples (text prediction, product suggestions, etc.)
- Talk: How is AI used in everyday life?
- Overview of course structure

SESSION 2

18

Jun

SESSION 2

Python

Wed 3:00 PM - 3:40 PM UTCJun 18, 3:00 PM - 3:40 PM UTC

- Variables, strings, numbers, booleans
- print(), input()
- Practice: Simple calculator, age checker

SESSION 3

21

Jun

SESSION 3

Python

Sat 3:00 PM - 3:40 PM UTCJun 21, 3:00 PM - 3:40 PM UTC

- if, elif, else
- for and while loops
- Defining and calling functions
- Practice: Guess the number game

SESSION 4

25

Jun

SESSION 4

Artificial Intelligence

Wed 3:00 PM - 3:40 PM UTCJun 25, 3:00 PM - 3:40 PM UTC

- list, dict, indexing, adding/removing items
- Iterating through data
- Practice: Contact book, grocery list tracker

SESSION 5

2

Jul

SESSION 5

Artificial Intelligence

Wed 3:00 PM - 3:40 PM UTCJul 2, 3:00 PM - 3:40 PM UTC

- Load a simple CSV using pandas
- What’s a feature? What’s a label?
- Show a real dataset: Iris or Titanic
- Use .head(), .describe(), .value_counts()
- What data looks like

SESSION 6

9

Jul

SESSION 6

Artificial Intelligence

Wed 3:00 PM - 3:40 PM UTCJul 9, 3:00 PM - 3:40 PM UTC

- Predict something super simple:
- Will this passenger survive? (Titanic)
- What kind of flower is this? (Iris)
- Evaluate with .score()

SESSION 7

12

Jul

SESSION 7

Artificial Intelligence

Sat 3:00 PM - 3:40 PM UTCJul 12, 3:00 PM - 3:40 PM UTC

- Titanic, or Iris
- Clean the data
- Train model, try to improve it by changing features or algorithm
- Encourage commenting and explaining code

SESSION 8

16

Jul

SESSION 8

Artificial Intelligence

Wed 3:00 PM - 3:40 PM UTCJul 16, 3:00 PM - 3:40 PM UTC

- Wrapping up project and a write-up

Public Discussion

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Jun 14 - Jul 16

5 weeks

40 mins

/ session

Next session on June 14, 2025

SCHEDULE

Saturdays

3:00PM

Wednesdays

3:00PM