fahmidiqbal / car_price_prdiction Goto Github PK
View Code? Open in Web Editor NEWA dataset from Kaggle is analyzed to predict the price of cars using different features. I have used Random Forest Regression technique to predict the values. Before applying the algorithm data has been preprocessed with different feature Engineering techniques like taking care of missing data, Encode categorical values, feature scaling. I have also used Randomized Search CV algorithm for determining the important features. Lastly A simple visual representation of the work has been developed and deployed in the Heroku Platform.