A Regression based ML model for prediction of car prices in market
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Updated
Jul 29, 2023 - Jupyter Notebook
A Regression based ML model for prediction of car prices in market
Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
Data visualisation using seaborn
Car Price Prediction Using Machine Learning (Regression Use Case)
Built a car price prediction from Kaggle dataset solution using Linear Regression and also Lasso Regression
Machine learning Algorithms
belajar machine learning
Car Price Prediction Using Multiple Regression
π Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.
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
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.
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 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.
A ML Algorithm Driven Car Price Prediction Project
Car Price Prediction using Regression
Machine learning based Web application predicts the price of old cars.
Revolutionary project alert! ππ 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. π²π
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