ByteTrail

Level 18 · Module 63

Machine Learning

A structured module covering the essential ideas of machine learning.

Difficulty
advanced
Published path
9 lessons · 90 min

What you will learn

  • Supervised learning
  • Unsupervised learning
  • Regression
  • Classification
  • Clustering
  • Training/testing
  • Overfitting
  • Feature engineering
  • Model evaluation
Prerequisites:AI Fundamentals

Start here

Lessons · 90 min

  1. Supervised learningPlanned

    Planned lesson: Supervised learning. This lesson has not been written yet.

    10 min · advanced

  2. Unsupervised learningPlanned

    Planned lesson: Unsupervised learning. This lesson has not been written yet.

    10 min · advanced

  3. RegressionPlanned

    Planned lesson: Regression. This lesson has not been written yet.

    10 min · advanced

  4. ClassificationPlanned

    Planned lesson: Classification. This lesson has not been written yet.

    10 min · advanced

  5. ClusteringPlanned

    Planned lesson: Clustering. This lesson has not been written yet.

    10 min · advanced

  6. Training/testingPlanned

    Planned lesson: Training/testing. This lesson has not been written yet.

    10 min · advanced

  7. OverfittingPlanned

    Planned lesson: Overfitting. This lesson has not been written yet.

    10 min · advanced

  8. Feature engineeringPlanned

    Planned lesson: Feature engineering. This lesson has not been written yet.

    10 min · advanced

  9. Model evaluationPlanned

    Planned lesson: Model evaluation. This lesson has not been written yet.

    10 min · advanced

What you will cover

Module units

  1. Supervised learning

    A planned unit covering Supervised learning.

  2. Unsupervised learning

    A planned unit covering Unsupervised learning.

  3. Regression

    A planned unit covering Regression.

  4. Classification

    A planned unit covering Classification.

  5. Clustering

    A planned unit covering Clustering.

  6. Training/testing

    A planned unit covering Training/testing.

  7. Overfitting

    A planned unit covering Overfitting.

  8. Feature engineering

    A planned unit covering Feature engineering.

  9. Model evaluation

    A planned unit covering Model evaluation.