XGBoost for Multi-Class Classification with Python | Step-by-Step with Hyperparameter Tuning

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In this video I show you how to implement an XGBoost classifier for a multiclass classification task. I go over how the XGBoost model works, how to train the model, and how to tune XGBoost's hyperparameters.

CHAPTERS:
00:00 Intro
00:18 What is XGBoost?
00:52 Dataset Overview
02:10 Train/Val/Test Split
03:11 Initial Model
05:19 Hyperparameter Tuning
12:35 Testing the model
13:39 Feature Importance
14:09 XGBoost vs RandomForest

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This was tremendously useful!! Thank you for including that segment on hyper-parameter tuning as well, and also focusing more on practice rather than too much theory!

drakonzai

Thank you ❤ u r using dark theme it's very useful to me watching your Video at night time also.

prarabdha

XGBoost for Multi-Class Classification with Python | Step-by-Step with Hyperparameter Tuning

XGBoost for Multi-Class Classification with Python | Step-by-Step with Hyperparameter Tuning

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