Day 2 PM Session Plan

This session introduces students to data containers.

Presentation Slides

Session Introduction

SLIDES 1 - 2
TEACHER LED


    What Are We Doing?

    Learning about Classification
    Preference Classification with Support Vector Machines
    Handwritten Text Recognition with Support Vector Machines

Support Vector Machines

SLIDE 3
SELF-PACED


    Students will learn:

    How to understand support vector machines
    Setting up the project
    Visualizing the data
    Fitting the model using the support vector machine
    Predicting new cases with the trained model
  • The students can use other ingredients and see how accurate the prediction model will be.

Handwritten Digit Recognition

SLIDE 4
SELF-PACED


    Students will learn:

    How to setup the project
    Displaying images in the dataset
    Fixing the dataset shape
    Fitting the SVM model to the dataset
    Evaluating and visualizing the accuracy of the model
  • The students can experiment with different training/testing percentages and see how that impacts the accuracy of the model.