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Pull Request for ML-Crate 💡
Issue Title: Used Car Price Prediction
Closes: #653 number that will be closed through this PR
Describe the add-ons or changes you've made 📃
So, Initially Check the Attributes of the dataset given, there distribution and data types. According to there datatype i had done preprocessing, Then Implemented various regressor models, and measure there performance in MSE, RMSE , MAE, R2.
Best performing model is stored in model.pkl along with preprocessor to process input data also.
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
For testing this model, Firstly mostly while training is evaluated by splitted dataset. But in Webapp i put a data values from the dataset and result where close enough to that value as that data wasn't seen by the model
Checklist: ☑️