From Kaggle
File:
- train.csv, training data with label survive
- test.csv, testing data without label
- res.csv first attemp, without feature engineering
- res_after_feature_engineering.csv final result with feature engineering
Using NLP skill to preprocess the data, and get more accuracy predict with each model (Decision Tree, SVC, Logistic Regression, GradientBoosting, MLP)