Python Project - Data Analysis of Used Cars from CarDekho

Predicts resale price of pre-owned vehicles using Random Forest Regression trained on 15,000+ CarDekho listings , based on features like engine, mileage, max power, and fuel type. Achieves 94% R² score

This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.

This project aims to build a machine learning model that predicts the price of a used car in Indian market using Cardekho dataset.

This repository showcases a collection of three interactive dashboards that demonstrate business intelligence and data analysis capabilities. The dashboards are designed to provide insights and visualizations of various business metrics, enabling data-driven decision making.

To organize and analyze automotive data to identify trends in pricing, features, and vehicle performance.

Based on the dataset from the car dekho, the price of the car is predicted based on some real world features.

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