This Categorical Encoder App is a Streamlit-based web application designed to help data analysts and machine learning practitioners efficiently encode categorical data into numerical representations.

This repository demonstrates data cleaning with a layoffs dataset. It covers handling missing values, detecting outliers, and encoding categorical data, using visualizations like boxplots and distplots to enhance data quality. Check out the code to see these techniques in action.