Used Car Price Prediction
using Machine Learning Models & Techniques.
In this data science project, I have conducted a comprehensive Exploratory Data Analysis (EDA) on a dataset containing information about used cars. The dataset encompasses a variety of features such as the car's make, model, year of manufacture, mileage, fuel type, and various other factors that influence the pricing of used cars. The primary objective of this project is to gain valuable insights into the dataset through EDA and build a robust machine learning model to predict the price of used cars.