Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

XGBoost and Data Leakage in Machine Learning - Day 14 of 30 Days of ML

1littlecoder via YouTube

Overview

Dive into Day 14 of Kaggle's 30 Days of ML Challenge, focusing on XGBoost and data leakage in machine learning. Explore the power of gradient boosting, a technique that dominates many Kaggle competitions and achieves state-of-the-art results on various datasets. Learn how to build and optimize models using XGBoost, and gain insights from a comprehensive tutorial. Understand the critical concept of data leakage, its potential to ruin models in subtle and dangerous ways, and discover effective prevention strategies. Complete hands-on exercises to reinforce your learning and wrap up Kaggle's Intermediate ML Course. Access additional resources, including related videos and a StatQuest tutorial on XGBoost, to deepen your understanding of these essential machine learning concepts.

Syllabus

Kaggle 30 Days of ML (Day 14) - XGBoost, Data Leakage - Learn Python ML in 30 Days

Taught by

1littlecoder

Reviews

Start your review of XGBoost and Data Leakage in Machine Learning - Day 14 of 30 Days of ML

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.