Kaggle with XGBoost, GPT-3, Chat GPT, and GitHub Copilot

Explore a Kaggle challenge solution using XGBoost, GPT-3, ChatGPT, and GitHub Copilot in this 18-minute tutorial video. Learn how to leverage AI-assisted coding tools to preprocess data, implement the XGBoost algorithm, and explore alternative machine learning approaches. Follow along as the instructor demonstrates using VS Code IDE, reviews the dataset, utilizes the CSV to Table extension, and employs GPT-3 to generate XGBoost code. Discover how to handle numerical and categorical data, perform one-hot encoding, and review code implementation. Gain insights into AI-assisted programming techniques and expand your data science skills through this hands-on Kaggle challenge walkthrough.

intro and review of the dataset
csv to table extension for VS Code
gpt-3 writes XGBoost code, data preprocessingnumerical vs categorical
Code review
ChatGPT turns categorical column into numerical one hot encoded columns
asking chat gpt for alternative algorithms to XGBoost