Car Price Prediction

Car Price Prediction

A Machine Learning project that predicts car prices based on different vehicle features such as brand, model, year, mileage, fuel type, transmission, and other relevant attributes.

The project includes data preprocessing, data cleaning, exploratory data analysis, feature engineering, and training machine learning models to estimate the expected price of a car.

Key Features

* Data cleaning and preprocessing

* Exploratory Data Analysis (EDA)

* Feature selection and engineering

* Data visualization

* Machine Learning model training

* Model evaluation using appropriate performance metrics

* Car price prediction based on vehicle specifications

Technologies

Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Google Colab

Project Goal

The main goal is to build a machine learning model that can help estimate the market price of a car from its available specifications.