A repository containing the code of Kaggle Submissions of the contests I participated in. I've not added any CSV(train, test, etc.) files because of thier sizes. Instead I have added link to these CSVs in next section.
The objective here is the classify the samples into different forest cover. For now I have submitted a Random Forest solution with 2000 Trees and 15 max_features.
Type: Classification
Kaggle Link: Kaggle - Forest Cover
The objective was to classify products into various categories for Otto Group. I tried using SVM with linear Kernel, a Random Forest and a GBM, till now SVM gave the best results.
Type: Classification
Kaggle Link: Kaggle - Otto Group
This is a prediction competition, where the target is the revenue of the different restaurants. A Regression Random Forest Submission with a bit of feature engineering yielded the best result for me, till now.
Type: Prediction
Kaggle Link: Kaggle - Restaurant Revenue
Predict the survival of people on Titanic, based on their individual attributes. A Random Forest Solution with some feature engineering worked pretty well.
Type: Classification
Kaggle Link: Kaggle - Titanic