Classification ML project to predict whether customers will purchase pre-owned vehicle based on their feature. EDA and feature engineering has been performed using basic python library like pandas, numpy, matplotlib and seaborn. For machine learning sklearn library is been used with various algorithm like KNN, bagging, boosting, etc also evaluate the model using confusion matrix & ROC curve.
dipanshraj / cars24 Goto Github PK
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