ailiteracynepal 🇳🇵

Chapter 05

Preparing data for models

Models eat numbers. Turning messy reality into clean feature columns, encoding what is categorical, scaling what is numeric, and splitting carefully into train, validation, and test.

Begin this chapter → ← All chapters

In this chapter

Sections in this chapter

  1. I Section

    Features: turning reality into columns

    0 / 2 exercises

    →
  2. II Section

    Encoding categories and scaling numbers

    0 / 2 exercises

    →
  3. III Section

    Splitting data: train, validation, test

    0 / 2 exercises

    →