Skip to content

Lightning talk on XGBoost as a classifier. Includes an installation guide and performance comparison to other classification models.

Notifications You must be signed in to change notification settings

rkkwan/intro-to-xgboost

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Introduction to XGBoost

By: Ritchie Kwan


XGBoost Installation Guide

Lightning Talk Presentation


We will use our favorite Titanic dataset to run XGBoost.

We will run classification models we've already learned, grid search them, and then see how XGBoost compares in terms of accuracy and speed.

We will also grid search GradientBoosting and XGBoost using the same parameters to compare computational speed and predictive power.

About

Lightning talk on XGBoost as a classifier. Includes an installation guide and performance comparison to other classification models.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published