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Data Science & ML track

Cross Validation

k-fold, stratified, time-series splits and validation strategy design.

6 concepts3 labs1 challenges
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Concepts

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Work through the concepts in order, or jump to what you need.

1

What Is Cross Validation?

Concept · Hands-on lab included

2

K-Fold Cross Validation

Concept · Hands-on lab included

3

Stratified and Group Splits

Concept · Hands-on lab included

4

LOOCV and Repeated K-Fold

Concept · Hands-on lab included

5

Nested Cross Validation

Concept · Hands-on lab included

6

Cross Validation for Time Series

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Rerun Everything Yourself With K-Fold

30 min · intermediate · K-Fold Cross Validation

Quantify the Optimism Nested CV Removes

35 min · advanced · Nested Cross Validation

Backtest a Forecast With Expanding Windows

35 min · advanced · Cross Validation for Time Series

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Next modules

Keep your learning streak going with related modules.

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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 · Cross Validation
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