A brief description of what this project does and who it's for
Frontend:https://github.com/joshiyash05/Enemies_of_Syntaxx_Datahack/tree/frontend Backend:https://github.com/joshiyash05/Enemies_of_Syntaxx_Datahack/tree/backend StreamLit:https://github.com/joshiyash05/Enemies_of_Syntaxx_Datahack/tree/streamlit ML:https://github.com/joshiyash05/Enemies_of_Syntaxx_Datahack/tree/ML
The used car market is a significant and growing industry, with millions of used cars being sold every year. One of the biggest challenges for buyers and sellers is determining the fair market value of a used car, which can vary widely depending on a variety of factors, including make, model, year, mileage, and condition.
This datathon aims to leverage machine learning techniques to develop a predictive model that can accurately predict the price of used cars. Participants are provided with a large dataset that includes information about thousands of used cars, including make, model, year, mileage, condition, and price. The goal of the datathon is to develop a predictive model that can accurately predict the price of a used car based on these and other factors.
Dataset:
train_data.csv
sample.csv
test_data.csv
Image Dataset
Schema
Name - String
Location - String
Year - Numeric
Kilometers_Driven - Numeric
Fuel_Type - String
Transmission - String
Owner_Type - String
Mileage - Numeric with unit
Engine - Numeric with unit
Power - Numeric with unit
Seats - Numeric
New_Price - Numeric with unit
Price - Numeric
Mohammed Raza: https://github.com/mohd-raza Yash Joshi: https://github.com/joshiyash05