Code-Alongs

What is a Code-Along?

Code-Alongs are live experiences taught by our instructors designed to prepare you for concepts found in the sprint challenges. They're your opportunity to work on complex job-ready problems in a live and engaging environment.

These sessions are 50 minutes in length and are offered seven days a week in the morning, afternoon, and evening. Because Code-Alongs delve deeper into a core competency, you will need to come to class prepared to have the best experience.

Ideal Code-Along Preparation Checklist

Code-Along 1: Data Wrangling and Encoding

This code-along focuses on practical data preparation techniques for tree-based models, reinforcing concepts from Modules 1 and 2. You'll work through realistic examples of handling categorical data, missing values, and feature engineering specifically for decision trees and random forests.

Starter Materials Solution Notebook

How to Prepare

Code-Along 2: Model Tuning

This session builds on Module 3's content, providing hands-on practice with hyperparameter tuning and cross-validation for tree-based models. You'll work with grid search, implement cross-validation strategies, and optimize model performance for the Kaggle competition.

Starter Materials Solution Notebook

How to Prepare

Prepare for Success

The best Code-Along experiences happen when you are ready before coming to class. Your instructors created a starting point and a solution for each of your Code-Alongs to ensure you have what you need to succeed.

Make sure to review the relevant module materials before attending the code-along. This will help you get the most out of the session and be better prepared to tackle the challenges.

Additional Resources

Tree-Based Models

Model Evaluation and Tuning