IDC Revision

Lectures

In-class slide decks, reconstructed as notes.

  1. Week 2

    Lecture 2 — EDA & Data Visualization

    Daniel Karalnik, Liam Tal

  2. Week 3

    Lecture 3 — Classification: Decision Trees, Logistic Regression, KNN, Random Forest

    Daniel Karalnik, Liam Tal

  3. Week 4

    Lecture 4 — Regression: Predicting Numbers

    Daniel Karalnik, Liam Tal

  4. Week 5

    Lecture 5 — Clustering & Dimensionality Reduction: Finding Hidden Groups

    Daniel Karalnik, Liam Tal

  5. Week 7

    Performance Measures & Data Processing

    Royee Guy

  6. Linear Regression

  7. Model Selection & KNN