Custom preprocessing pipeline library
Project description
My_Preprocess
A lightweight machine learning preprocessing library built from scratch using NumPy and Pandas.
This project is designed to deeply understand how core preprocessing tools like Pipeline, ColumnTransformer, and Encoders work internally — without relying on sklearn.
✨ Features
- 🔁 Custom Pipeline (sequential transformations)
- 🧩 ColumnTransformer (parallel column-wise transformations)
- 🔤 Encoders:
- Label Encoder
- One Hot Encoder
- Ordinal Encoder
- 📏 Standard Scaler
- ⚙️ Fully built using NumPy and Pandas
🧠 Why this project?
Most ML libraries (like sklearn) hide internal implementation details.
This project focuses on:
- Understanding how transformations are chained
- Learning how fit / transform logic works
- Building preprocessing systems from scratch
📦 Installation
pip install varsha-preprocess
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