Project information

About Project

  • ML REGRESSION MODEL
  • This project involved data preprocessing and exploratory data analysis of a used cars dataset using Python. The data preprocessing involved handling missing data, identifying and handling outliers, and transforming the data into a usable format. The exploratory data analysis involved visualizing the data and identifying patterns and relationships. This project demonstrates the importance of data preprocessing and EDA in gaining insights from data and making informed decisions.