Data Cleaning and Preprocessing Pipeline Using Python and Pandas

This project focuses on cleaning and preprocessing raw datasets using Python and pandas to prepare the data for machine learning and analysis tasks.

The workflow includes applying essential data cleaning techniques to improve dataset quality and usability.

Project steps include:

Loading dataset using pandas

Handling missing values

Removing duplicate records

Fixing inconsistent data formats

Detecting and treating outliers

Data transformation and normalization

Preparing cleaned dataset for machine learning models

This type of preprocessing is essential in:

Machine Learning pipelines

Data analysis workflows

Business intelligence systems

AI dataset preparation tasks

Technologies used:

Python

pandas

NumPy

Data preprocessing techniques

Data transformation