04 — Feature Engineering

Constructing informative input representations from raw data — the craft of making relevant patterns explicit and accessible to learning algorithms.

Notes

• Feature Engineering — numerical transforms, temporal features, categorical encoding, target encoding, groupby aggregates, text features, feature selection, and leakage prevention

Links

← 03 — Exploratory Data Analysis → 05 — Experimentation and Validation

• Feature Engineering (Production)
• Linear Models and GLMs