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Code.org

Code.org has designed a series of lessons which introduce some of the basic concepts of Machine Learning (ML) to newbs.

We will use some of these activities to kick start our thinking while we attempt to cover the SL syllabus requirement.

Whilst working through the lessons, you will be directed to complete a Machine Learning booklet.

Click the button below and make a copy of the booklet. Move it into your A4 folder.

  • Part 1

  • Train a model

  • Part 2

  • Types of ML

  • Part 3

  • Types of ML II

  • Part 4

  • Feature Selection

  • Part 6

  • Hardware

  • Part 7

  • Dimensionality Reduction

  • Part 8

  • Data Cleaning

  • Part 9

  • Linear Regression

  • Part 10

  • K-Nearest Neighbour

  • Part 11

  • Decision Trees

  • Part 12

  • Hyperparameters

  • Part 13

  • Deep Learning