DevOpsForge
K
K
Free

Platform

Home

Tracks

OverviewLearning Path

Tools

LabsTroubleshootingInterview PrepTemplatesCheat SheetsRoadmapsChallengesProjects

Community

AI MentorSettings
Free
Data Science & ML track

ML Experimentation

Experiment tracking, reproducibility and comparing model runs.

6 concepts3 labs1 challenges
0%
0% complete
Keep going!
Concepts

Start learning

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

1

Experiment Tracking

Concept · Hands-on lab included

2

Sound Experiment Design

Concept · Hands-on lab included

3

Ablation Studies

Concept · Hands-on lab included

4

Error Analysis

Concept · Hands-on lab included

5

Statistical Comparison of Models

Concept · Hands-on lab included

6

Reproducibility

Concept · Hands-on lab included

Practice

Hands-on labs

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

Browse all labs

Track Runs Like a Pro

30 min · intermediate · Experiment Tracking

Ablate a Feature Group

35 min · intermediate · Ablation Studies

Slaughter Your Errors

35 min · intermediate · Error Analysis

Continue

Next modules

Keep your learning streak going with related modules.

0%

Mathematics

Linear algebra, calculus and notation needed for machine learning.

0%

Statistics

Distributions, estimators, hypothesis testing and statistical inference.

0%

Python

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

DevOpsForge - Data Science & ML · ML Experimentation
DocumentationSupport