Task1-ElevateLabs-

Data Cleaning and Preprocessing

This repository contains code and resources for data cleaning and preprocessing tasks. The primary goal is to demonstrate techniques for preparing raw data for analysis, focusing on steps such as handling missing values, drop duplicates, convert datetime format and check & fix datatypes.

Contents

• Jupyter Notebooks: Interactive notebooks covering various data cleaning operations.
• Sample Datasets: Example datasets used for demonstrating preprocessing techniques.
• Scripts: Python scripts for reusable data transformation functions.

Key Features

• Handling missing data (imputation, removal)
• Removing duplicates.
• Standardize text.
• Rename column header to be clean and uniform.
• Check and fix data types.

Getting Started

1. Clone the repository

   git clone https://github.com/vedantg0501/Task1-ElevateLabs-.git