Day 2 AM Session Plan

This session introduces students to using the random forest model with python

Presentation Slides

Session Introduction

SLIDES 1 - 2
TEACHER LED


    What Are We Doing?

    Learning about Algorithm Types
    Splitting and Training Data
    Training and Evaluating the Random Forest Model

Supervised Learning Algorithms

SLIDES 3-6
TEACHER LED


    Students will learn:

    Types of machine learning algorithms
    Structure of the random forest algorithm

Random Forest for Regression

SLIDE 7
SELF-PACED


    Students will learn:

    Creating a new project
    Splitting the data into features and labels
    Scaling features using data normalization
    Training the algorithm using sklearn
    Using math to evaluate the accuracy of the regression algorithm
  • The students can continue changing the parameters for the algorithm and see how it alters the results.