I've used pyhton's scikitlearn libarary to predict Car Selling Price and Pandas, Matplotlib, Seabron to visualize and preprocess the data.
I used regression models like LinearRegression,Lasso,Ridge,DecisionTreeRegressor,RandomForestRegressor and Compare them to get the best model then hypertuning the model to get the best result out of the given dataset.
Please check the notebook.ipynb file to know better about the project.
Prediction app link: Car Price Prediction using Streamlit
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Regression Analysis to predict car selling price with given datasets. Used libraries: Pandas, Matplotlib, Seaborn, Scikitlearn
zehan-alam/Regression--Car-Price-Prediction
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Regression Analysis to predict car selling price with given datasets. Used libraries: Pandas, Matplotlib, Seaborn, Scikitlearn
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