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Tune XGBoost With Early Stopping to Predict Shelter Animal Status

Offered By: Julia Silge via YouTube

Tags

XGBoost Courses Predictive Modeling Courses Feature Engineering Courses Early Stopping Courses

Course Description

Overview

Learn to implement xgboost modeling with early stopping for efficient and accurate predictions using animal shelter data from #SLICED. Explore feature engineering techniques, analyze results, and generate predictions in this 31-minute screencast. Follow along with the provided code to enhance your understanding of machine learning concepts and their practical applications in real-world scenarios.

Syllabus

Introduction
Overview
Feature Engineering
Early stopping
Results
Predictions
Conclusion


Taught by

Julia Silge

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