A Regression based ML model for prediction of car prices in market

This repository contains the code and resources for a machine learning project aimed at predicting car prices based on various features. The project utilizes both Linear Regression and Random Forest Regression models to achieve accurate predictions.

Car price prediction system to predict the car price based on features like fuel type, owners, kilometers driven, etc.

These are the work done while my internship period for Internpe 2023

Car price prediction service using FastAPI with Redis caching, Prometheus metrics, and Grafana dashboards. Demonstrates ML model deployment, monitoring, and optimization in a production-like environment.

This project showcases Power BI skills by analyzing customer behavior and preferences in the automotive market. Using interactive dashboards, it provides insights into demographics, car brands, models, and purchasing trends, highlighting the use of Power BI for data-driven decisions.

This repository presents a data-driven exploration into predicting car prices using a machine learning model based on linear regression, aimed at aiding a Chinese automobile company's entry into the competitive US market.

Car Price Detection System

This is a Car Price predictor using Machine Learning with an interactive UI built using streamlit(python framework).

ML model to predict car prices based on various features such as make, model, year, mileage, etc., using MongoDB as the backend database.

A machine learning web application that predicts car prices and calculates EMI. Built with Flask and Scikit-learn, it features an intuitive interface for instant market valuations based on car details like model, year, and mileage.

Built a machine learning model to predict used car prices using features like year, mileage, and brand. Applied Linear Regression for accurate price estimation, with data cleaning, feature encoding, and model evaluation using R² and MAE.

Prediction Car prices using a Linear Regression model

A Machine Learning powered web application built with Flask that predicts the price of a car based on various input features like brand, model, year, mileage, fuel type, and more. The project uses Python, Pandas, Scikit-learn, and a trained regression model to provide accurate and real-time price predictions

Car Price Prediction using Machine Learning

🚗 Car price prediction using machine learning. Demo app built with Streamlit for easy interaction.

End to end machine learning Project that predicts the price of used cars

A machine learning project to predict the selling price of used cars using regression techniques. Includes data preprocessing, model training, evaluation, and testing on new data.

This repository is dedicated to developing a model for predicting car prices in Malaysia, utilizing various data science techniques and machine learning algorithms.

I recently completed my five distinct tasks, as part of my data science and machine learning internship at Oasis infobyte.