This folder contains the notebooks and the data files from the Kaggle competition I participated in.

• 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)

• 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

• 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

• 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