Designed a classifier using various models such as Naïve bayes, SVM, NN, Deep learning, LGBM, XGBoost, etc. Performed pre-processing of data and applied k-fold cross-validation. Secured Top 100 position on Kaggle competition leaderboard with an accuracy of 69.62%.
