Data Science & ML track

Gradient Boosting

Boosting, residuals, learning rate, regularization and best practices.

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1

Gradient Boosting Overview

Concept · Hands-on lab included

2

Boosting vs Bagging

Concept · Hands-on lab included

3

Loss Functions and Gradient Steps

Concept · Hands-on lab included

4

Learning Rate and Number of Estimators

Concept · Hands-on lab included

5

Regularization and Early Stopping

Concept · Hands-on lab included

6

Tuning Gradient Boosting

Concept · Hands-on lab included

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