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Game-Price-Prediction

Logical rhythm 2020 kaggle problem statement based on Regression.

Kaggle problem Statement:https://www.kaggle.com/c/logical-rythm-2k20-game-price-prediction.

Evaluation done on basis of RMSE(root mean squares error). Got best score(least error):16.89290 and Rank :10 out of 19.

This is a problem under Logical Rhythm 2020 , where you need to predict the prizes for games using attributes such as positive reviews, negative reviews, genre etc.

Feel free to access submission my best submmsion(named submission_rf_4_x.csv). Used Random forest Regressor and xgboost with lots of feature extraction and feature manipulation along with hyper paramter tuning using grid search and randomized search cv.

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Logical rhythm 2020 kaggle problem statement based on Regression.

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