feature identification

What is the difference between Feature Engineering and Feature Selection?

Feature Engineering is the process of using domain knowledge to extract numerical representations from raw data.

Data Preparation (43)
- Dimensionality Reduction (9)
- General (5)
- Missing data (7)
- Standardization (6)
- Textual Data (16)
Deep Learning (23)
Machine Learning 101 (30)
Regularization (6)
Statistics 101 (38)
Supervised Learning (108)
- Classification (36)
  - Discriminant Analysis (5)
  - Naive Bayes (4)
  - Support Vector Machine (10)
- Classification & Regression Trees (CART) (23)
- Regression (46)
  - Generalized Linear Model (GLM) (9)
  - Linear Regression (27)
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Unsupervised Learning (46)
- Clustering (17)
  - Gaussian Mixture Models (5)
  - Hierarchical Clustering (4)
  - K-Means Clustering (10)