Machine Learning

Level

Beginner. Finish the Python workshop first, or know basic Python.

Who it is for

Students who know basic Python (loops, lists, functions).

Length

5 sessions, about 5.3 hours in total

You need

• A web browser
• Google Teachable Machine (free, no account)
• Google Colab (free Google account)

Before you start

Python basics. A free Google account for Google Colab.

What you will be able to do

• Explain what machine learning is and where it is used
• Read and summarize a small dataset
• Train a model that predicts a number
• Train a model that sorts things into groups
• Judge whether a model is fair and trustworthy

Final project: A small classifier on a dataset you choose, with a one-minute demo.

The five sessions

1. Session 1

   What Is Machine Learning?

   Understand how a computer can learn from examples instead of rules, then train your first model in the browser.

   60 min · Project: Train your own image classifier
2. Session 2

   Looking at Data

   Use Python and pandas in Google Colab to load a small dataset, summarize it and spot a pattern.

   60 min · Project: Study time and scores
3. Session 3

   Predicting Numbers

   Train a first model with scikit-learn that predicts a number from another number.

   60 min · Project: Score predictor
4. Session 4

   Sorting Into Groups

   Train a classifier that decides which group something belongs to, and measure how often it is right.

   60 min · Project: Flower sorter
5. Session 5

   Can We Trust the Model?

   Spot overfitting, think about fairness, and finish with a classifier project you can present.

   75 min · Project: Capstone: build and present a classifier

Next workshop: AI App Development