XGBoost Explained in Under 3 Minutes

In this video, we explore what are the key features that made the eXtreme gradient boosting (XGBoost) model so successful in machine learning. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Gradient Boosting explained: https://youtu.be/lOwsMpdjxog Why Deep Neural Networks (DNNs) Underperform Tree-Based Models on Tabular Data: https://youtu.be/e62CBva4TYc Bagging vs Boosting: https://youtu.be/tjy0yL1rRRU *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:22 - XGBoost and Gradient Boosting 00:54 - #1 L1 and L2 regularization 01:09 - #2 Model regularization 01:27 - #3 Built-in cross-validation 01:49 - #4 Parallelization 02:00 - #5 Prunning 02:24 - #6 Versatility 02:33 - #7 Easy-to-use interface 02:43 - Outro *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic https://twitter.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #xgboost #boosting #gradientboosting #decisiontrees