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Data Science & ML track

XGBoost

XGBoost internals, hyperparameters, early stopping and comparing with LightGBM.

6 concepts1 challenges
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1

XGBoost Overview

Concept · Hands-on lab included

2

XGBoost vs Classic Gradient Boosting

Concept · Hands-on lab included

3

Regularization in XGBoost

Concept · Hands-on lab included

4

Early Stopping and Eval Sets

Concept · Hands-on lab included

5

Imbalance and Categorical Features in XGBoost

Concept · Hands-on lab included

6

Tuning XGBoost

Concept · Hands-on lab included

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Mathematics

Linear algebra, calculus and notation needed for machine learning.

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Statistics

Distributions, estimators, hypothesis testing and statistical inference.

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Python

Scientific Python stack: environments, typing, numpy-style thinking.

DevOpsForge - Data Science & ML · XGBoost
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