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The Car Price Prediction is a flask web application which predicts car prices based on given independent features like Car_Name, Year, Selling_Price, Present_Price, Kms_Driven, Fuel_Type, Seller_Type, Transmission, and Owner.
11 Αυγ 2020 · A Machine Learning Project that uses Random Forest Regressor model to predict used cars price based on some attributes such as kilometers driven, age, number of previous owners etc.
This repository offers a complete project on predicting used car prices using machine learning. It features data cleaning, model selection, training, and evaluation in a Jupyter Notebook, along with a Streamlit app for interactive predictions.
Used-car-price-prediction-with-machine-learning.ipynb · GitHub. Instantly share code, notes, and snippets. rabbit89 / Used-car-price-prediction-with-machine-learning.ipynb. Created May 26, 2020 01:34. Show Gist options. Star(0)0 You must be signed in to star a gist. Fork(0)0 You must be signed in to fork a gist. Embed.
13 Ιουλ 2021 · This research aims to develop a good regression model to offer accurate prediction of car price. In order to do this, we need some previous data of used cars for which we use price and...
Used car pricing today is often varied, based off a relatively small feature set, and is some variant of linear regression. Here, we try various deep learning architectures that incorporate more features in order to better predict used car prices than other models in existing literature today. Specifically, we compare performance between
17 Μαΐ 2024 · The first step is obtaining a dataset. There are numerous websites with open source datasets such as Kaggle, Github, UCI and so on. The dataset used in this article is sourced from Kaggle, a...
