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

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

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

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.

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.

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.

Car Price Detection System

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

Car Price Prediction using Machine Learning

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

The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning. So, if you want to learn how to train a car price prediction model then this project is for you.

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.

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

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

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

Prediction Car prices using a Linear Regression model

Welcome to the "Car Price Prediction with Random Forest Regressor" repository! This project focuses on predicting the prices of cars using the power of machine learning and the Random Forest Regressor algorithm. If you're interested in the automotive industry, machine learning, or predictive modeling, this repository is a perfect starting point.

"Developed a machine learning model to predict stock prices based on historical data and key market indicators. Implemented time series analysis, regression models, and deep learning algorithms to identify trends and forecast future prices. Utilized Python libraries like pandas, scikit-learn, and TensorFlow for data preprocessing, model training

Car price prediction using python.