This folder contains the notebooks and the data files from the Kaggle competition I participated in.
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Loan Approval Prediction (Playground Series - Season 4, Episode 10) :
https://www.kaggle.com/competitions/playground-series-s4e10/
Description : The goal for this competition is to predict whether an applicant is approved for a loan.
Result : AUC = 0.87497 (late submission)
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Regression of Used Car Prices (Playground Series - Season 4, Episode 9) :
https://www.kaggle.com/competitions/playground-series-s4e9
Description : The goal of this competition is to predict the price of used cars based on various attributes. Submissions are scored on the root mean squared error.
Result : 755/3068 with a RMSE = 63354.37060
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Binary Prediction of Poisonous Mushrooms (Playground Series - Season 4, Episode 8) :
https://www.kaggle.com/competitions/playground-series-s4e8
Description : The goal of this competition is to predict whether a mushroom is edible or poisonous based on its physical characteristics. Submissions are evaluated using the Matthews correlation coefficient (MCC).
Result : 1973/2424 with a MCC = 0.94979
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Titanic - Machine Learning from Disaster :
https://www.kaggle.com/competitions/titanic
Description : The goal of this competition is to predict if a passenger survived the sinking of the Titanic or not. Submissions are evaluated using the accuracy of the predictions
Result : Accuracy = 0.76555