Capstone Project SA 2023_Arunaditya_Final

This notebook focuses on analyzing and modeling a given dataset, involving tasks such as data loading, preprocessing, feature engineering, model training, and evaluation. Multiple models, including Logistic Regression, Random Forest Classifier, and Support Vector Machine (SVM), were trained and compared based on evaluation metrics such as precision, recall, and F1 score. The best performing model was selected based on the highest F1 score, and its predictions were generated on the test data, resulting in a submission file for further analysis or submission to the appropriate platform.