This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

veda_lib-A Python library designed to streamline the transition from raw data to machine learning models. It automates and simplifies data preprocessing, cleaning, and balancing, addressing the time-consuming and complex aspects of these tasks to provide clean and ready-to-use data.