ML Pipeline
April 21, 2026Machine Learning Pipeline: Preprocessing & Models #
This page explains both data preprocessing and model development concepts in a clear, structured way to support understanding.
A complete ML pipeline includes preprocessing, feature engineering, feature selection, and model training.
1. Data Preprocessing Overview #
Raw data is often:
- Noisy
- Incomplete
- Inconsistent
Preprocessing ensures data is suitable for machine learning.
2. Missing Values #
Why they occur
- Sensor errors
- Data collection issues
Methods