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Introduction to Machine Learning with Python!

SAT Score Range

13 sessions

+13

This series ended on April 5, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Hello, my name is Rohan! I have experience with machine learning, and I have conducted multiple research projects on the subject. This course is intended for beginners who want to learn the fundamentals of Python and machine learning.
Sessions and times are flexible, so please message me if you want to change dates/times. Topics we will cover include Python, machine learning concepts, and finally, integrating both! No programming experience is required, and I hope to see you there!

Tutored by

Rohan A 🇺🇸

Senior Tutor

Certified in 40 topics

View Profile

Hello, my name is Rohan! I am from New Jersey, and I am currently a high schooler. My goal on Schoolhouse is to help other students like me learn and be prepared for anything. My passion lies in machine learning (ML), and I have researched many topics of machine learning! (I have two publicly accessible research papers). Additionally, I enjoy software engineering on a broader level, with interests in competitive programming (I am a USACO Silver Competitor) and web development. During my free time, I am an avid videogame player, with multiple Platinum trophies on difficult "souls" games. I have also played piano for 6 years and arrange my favorite video game tracks on piano (like "Escaping a Foul Prescence" from Ori 2, "Abyss Watchers" from Dark Souls 3, and "Final Battle" from Elden Ring as great examples)! Going outside the house, I play goalkeeper for my high school soccer team and I am a varsity swimmer. In addition to computer science, I also love mathematics, so if you have any questions about any High School Mathematics, Machine Learning, Python, or Java, feel free to ask me and I will try to get back to you with answers! Happy learning everyone! - Rohan

Schedule

✋ ATTENDANCE POLICY

Please do not miss two sessions in a row and let me know if you cannot make it to a meeting!

SESSION 1

22

Feb

SESSION 1

Python

Python

Sat 1:00 AM - 2:00 AM UTCFeb 22, 1:00 AM - 2:00 AM UTC

Lesson 1 - Python (1)

Simple Syntax
Variables
Data Types
Functions
SESSION 2

23

Feb

SESSION 2

Python

Python

Sun 1:00 AM - 2:00 AM UTCFeb 23, 1:00 AM - 2:00 AM UTC

Lesson 2 - Python (2)

Operators
If-else
Modules
SESSION 3

1

Mar

SESSION 3

Python

Python

Sat 1:30 AM - 2:30 AM UTCMar 1, 1:30 AM - 2:30 AM UTC

Lesson 3 - Python (3)

For loops
While loops
Data structures
SESSION 4

2

Mar

SESSION 4

Artificial Intelligence

Artificial Intelligence

Sun 1:00 AM - 2:00 AM UTCMar 2, 1:00 AM - 2:00 AM UTC

Lesson 4 - Machine Learning Concepts (1)

Data:

What is data?
What are features?
What are labels?
Understanding predictions
Labeled vs Unlabeled Data
Numerical vs Categorical Data
Training Models
SESSION 5

8

Mar

SESSION 5

Artificial Intelligence

Artificial Intelligence

Sat 1:00 AM - 2:00 AM UTCMar 8, 1:00 AM - 2:00 AM UTC

Lesson 5 - Machine Learning Concepts (2)

Types of Machine Learning:

Supervised - Predicts labels (labeled data)
Unsupervised - Extracts information from unlabeled data
Reinforcement - Given no data, goal is to work with what it has
SESSION 6

9

Mar

SESSION 6

Artificial Intelligence

Artificial Intelligence

Sun 1:00 AM - 2:00 AM UTCMar 9, 1:00 AM - 2:00 AM UTC

Lesson 6 - Machine Learning Concepts (3)

Classification Models:

Predict categorical data
Predict one class out of a SET of classes (a certain state)
Specific Algorithms:
- K nearest neighbors
- Random Forest
- etc.
SESSION 7

15

Mar

SESSION 7

Office Hours

Office Hours

Sat 12:00 AM - 1:00 AM UTCMar 15, 12:00 AM - 1:00 AM UTC

Midpoint Review
SESSION 8

15

Mar

SESSION 8

Artificial Intelligence

Artificial Intelligence

Sat 11:00 PM - Sun, 12:00 AM UTCMar 15, 11:00 PM - Mar 16, 12:00 AM UTC

Lesson 7 - Machine Learning Concepts (4)

Regression Models:

Predict numerical data
- Specific number
Specific Algorithms:
- Linear Regression
- Neural Networks
- Polynomial Regression
- etc.
SESSION 9

22

Mar

SESSION 9

Artificial Intelligence

Artificial Intelligence

Sat 12:00 AM - 1:00 AM UTCMar 22, 12:00 AM - 1:00 AM UTC

Lesson 8 - Machine Learning Concepts (5)

Problems with Training Models:

- Underfitting
- Overfitting
- Lack of Data
- Skewed Data
SESSION 10

23

Mar

SESSION 10

Artificial Intelligence

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCMar 23, 12:00 AM - 1:00 AM UTC

Lesson 9 - Machine Learning Concepts (6)

Measuring Classification Models

- Accuracy
- Confusion Matrices
- ROC Curves
- RMSE

+ How to generate these using Python!
SESSION 11

29

Mar

SESSION 11

Artificial Intelligence

Artificial Intelligence

Sat 12:00 AM - 1:00 AM UTCMar 29, 12:00 AM - 1:00 AM UTC

Lesson 10 - Teachable Machine for Image Classification

Put what you have learned so far into practice with Teachable Machine! It's a simple interface for training image classification models.
SESSION 12

30

Mar

SESSION 12

Artificial Intelligence

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCMar 30, 12:00 AM - 1:00 AM UTC

Lesson 11 - Integration of Python Modules with Machine Learning

- keras (ks)
- tensorflow (tf)
- numpy (np)
- pandas (pd)
- Live Demo!
SESSION 13

5

Apr

SESSION 13

Office Hours

Office Hours

Sat 12:00 AM - 1:00 AM UTCApr 5, 12:00 AM - 1:00 AM UTC

Review!

Public Discussion

Please log in to see discussion on this series.

Feb 22 - Apr 5

6 weeks

60 mins

/ session

SCHEDULE

Saturdays

12:00AM