DS Unit 2 - Sprint 6: Tree-Based Models

Welcome to Sprint 6!

In this sprint, you will explore decision trees, random forests, and gain expertise in model validation techniques. You'll learn how to implement, evaluate, and fine-tune tree-based models for classification and regression tasks.

By the end of this sprint, you'll be able to build effective tree-based models, optimize their performance, and effectively interpret your results using appropriate metrics.

Sprint Overview

Module 1

Decision Trees

Learn the fundamentals of decision trees and how to implement them for classification and regression problems. You'll understand how decision trees split data and make predictions.

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Module 2

Random Forests

Dive into ensemble learning with random forests. You'll learn how combining multiple decision trees creates more powerful models with improved accuracy and reduced overfitting.

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Module 3

Cross-Validation and Grid Search

Master techniques for proper model validation and hyperparameter tuning. You'll learn how to use cross-validation to evaluate models and grid search to optimize model parameters.

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Module 4

Classification Metrics

Understand and implement key metrics for evaluating classification models. You'll explore confusion matrices, precision, recall, F1 score, and ROC curves to effectively assess model performance.

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Code-Alongs

Participate in interactive coding sessions to practice applying concepts with real-world datasets:

Code-Along 1: Data Wrangling and Encoding Code-Along 2: Model Tuning

Sprint Challenge

Putting It All Together

In the sprint challenge, you'll demonstrate your mastery of decision trees, random forests, and classification metrics by solving a real-world machine learning problem.

You'll be asked to build and tune models, evaluate their performance using appropriate metrics, and communicate your findings effectively.

Go to Sprint Challenge

How to Pass This Sprint

  1. Complete all module projects
  2. Attend and participate in the code-alongs
  3. Successfully complete the sprint challenge
  4. Engage with the material by asking questions and collaborating with your peers

Resources

Documentation

Recommended Study