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Introduction to Machine Learning

Dataset Splitting, Cross-Validation, Data Leakage

Before any algorithm. A bad split produces a beautiful number that lies.

Level
Beginner
Lessons
2
Total time
34 min
Simulations
2
Included in Introduction to Machine Learning · $9
Tools you'll use
  • Python
  • scikit-learn
  • pandas
  • NumPy
Skills
  • Train/test split
  • Cross-validation
  • Data leakage
Try it now — free

This is the real simulation from the module. No account needed.

What you will be able to do

  • Split data without leaking the future into the past
  • Use k-fold cross-validation correctly
  • Find data leakage before it flatters your score

Syllabus

2 lessons · 34 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in Introduction to Machine Learning

  1. Splitting Data, and K-Fold

    18 min

    Why one split is not enough, and why k = 5 is nearly always the answer.

    Included with the track Simulation

  2. Data Leakage

    16 min

    The number-one cause of a model that shines on a laptop and fails in production. Three forms, and how to spot the symptom.

    Included with the track Simulation

Practice included

Included with the track. Quizzes are graded on the server; competitions have a live leaderboard.

  • QuizQuiz: Machine Learning Foundations
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