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: Feature Engineering and Imbalanced Datasets

This code-along focuses on practical feature engineering techniques and strategies for handling imbalanced datasets, reinforcing concepts from Modules 1 and 2. You'll work through realistic examples of creating meaningful features from raw data and applying various techniques to address class imbalance in machine learning problems.

Starter Materials Solution Notebook

How to Prepare

Code-Along 2: Model Interpretation

This session builds on Module 4's content, providing hands-on practice with model interpretation techniques including partial dependence plots and SHAP values. You'll work with real datasets to understand how your models make predictions and learn to communicate model insights effectively to stakeholders.

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

Feature Engineering

Imbalanced Learning

Hyperparameter Optimization