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Machine Learning / 03

Data Preparation

Plan how to inspect, clean, split, and transform data before training a model.

Section 3 of 22 · 18 subtopics

This is a knowledge index. Published titles open their articles; the remaining entries outline planned coverage.

Subtopics

  1. 03.01

    Understanding a Dataset

    Planned guide: Understanding a Dataset. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  2. 03.02

    Structured vs Unstructured Data

    Planned guide: Structured vs Unstructured Data. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  3. 03.03

    Numerical Variables

    Planned guide: Numerical Variables. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  4. 03.04

    Categorical Variables

    Planned guide: Categorical Variables. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  5. 03.05

    Ordinal Variables

    Planned guide: Ordinal Variables. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  6. 03.06

    Missing Values

    Planned guide: Missing Values. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  7. 03.07

    Duplicate Records

    Planned guide: Duplicate Records. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  8. 03.08

    Outliers

    Planned guide: Outliers. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  9. 03.09

    Invalid Values

    Planned guide: Invalid Values. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  10. 03.10

    Data Leakage

    Planned guide: Data Leakage. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  11. 03.11

    Train / Validation / Test Split

    Planned guide: Train / Validation / Test Split. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  12. 03.12

    Random Sampling

    Planned guide: Random Sampling. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  13. 03.13

    Stratified Sampling

    Planned guide: Stratified Sampling. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  14. 03.14

    Time-Based Splits

    Planned guide: Time-Based Splits. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  15. 03.15

    Data Transformation

    Planned guide: Data Transformation. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  16. 03.16

    Normalization

    Planned guide: Normalization. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  17. 03.17

    Standardization

    Planned guide: Standardization. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation
  18. 03.18

    Robust Scaling

    Planned guide: Robust Scaling. Focus on intuition, assumptions, and a worked example.

    beginnerArticle in preparation