In this project, we tried to predict the prices of other houses according to the values ​​of these features with the model we obtained by training a data set containing some features and prices of real houses with linear regression and decision tree regression methods

These are the tasks which I have performed during my Data Science Internship by Oasis Infobyte

Predict Car Prices with Random Forest (top 7% ranked model)

🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.

Car Price Prediction Using Multiple Regression

Car price prediction system to effectively determine the worthiness of the car using a variety of features.

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

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

CAR PRICE PREDICTION USING MULTI-VARIATE ANALYSIS

Utilizing pandas and sklearn, this machine learning project applies linear regression for precise prediction of upcoming car prices, incorporating vital ML concepts. Data is sourced from a CSV file.

Machine learning Algorithms

A ML Algorithm Driven Car Price Prediction Project

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

Revolutionary project alert! 🚀🚗 Utilizing Jupiter Notebook and web development, my app predicts car prices accurately based on vital data like company, model, year, fuel, and kilometers. Empowering car buyers, sellers, and enthusiasts with smart estimates. 💲📊

“We currently estimate the average transaction price of a new vehicle in the U.S. to decline by around 2.5% to 5% year-over-year in 2023, supported by increasing inventory availability as supply constraints ease and as automakers produce more lower-end models equipped with fewer high-end features.

Auto Price Insights is a machine learning-based car price prediction tool that utilizes various data points and algorithms to estimate the value of a car. By analyzing factors such as the car's make and model, year, mileage, condition, and other relevant data, AutoValuate provides users with an accurate estimate of the car's market value.

belajar machine learning

One of the main areas of research in machine learning is the prediction of the price of used cars. It is based on finance and the marketing domain. It is a major research topic in machine learning because the price of a car depends on many factors. Some of the factors that contribute a lot to the price of a car are

car price predication with machine learning. 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.

Car Price Prediction Using Machine Learning (Regression Use Case)