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.
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Updated
Aug 13, 2023 - Jupyter Notebook
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.
Car price prediction system to effectively determine the worthiness of the car using a variety of features.
Car Price Prediction Using Machine Learning (Regression Use Case)
A Regression based ML model for prediction of car prices in market
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.
“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.
Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
Machine learning Algorithms
Car Price Prediction Using Multiple Regression
Machine learning based Web application predicts the price of old cars.
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. 💲📊
Data visualisation using seaborn
Built a car price prediction from Kaggle dataset solution using Linear Regression and also Lasso Regression
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 flask app using linear regression and a sample dataset from kaggle
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
belajar machine learning
🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.
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