This repository contains my submission for ACM _ TASK 2 : Data preprocessing.
Overview
The project focuses on cleaning, transforming, and preparing raw data for further analysis or model training.
Techniques used include:
- Handling missing values
- Removing duplicates
- Encoding categorical features
- Normalization and scaling
- Data visualization for feature insights
Tools & Libraries
- Python 3
- pandas
- numpy
- matplotlib / seaborn
- scikit-learn
- seaborn
By - Sunanda Mishra October 2025