Data Preprocessing Pipeline (NumPy, Pandas)

• By Mohsin shakoor
• August 23, 2025August 23, 2025
• Education

Python data preprocessing pipeline using NumPy and Pandas that:

1. Handles missing values
2. Normalizes numerical data
3. Encodes categorical data

What this pipeline does:

• Missing Values
  • Age → replaced with mean
  • Salary → replaced with median
  • Name → replaced with "Unknown"
• Normalization
  • Scales numerical features (Age, Salary) to a 0–1 range
• Encoding
  • Converts Department into numeric labels

Next Step: I can extend this into a function-based pipeline where you just pass a dataset, and it returns the cleaned version (like a mini scikit-learn pipeline).

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