Top 8% result in Kaggle Titanic competition

As of October 2018, I managed to get to top 8% in the Titanic Kaggle competition (751 out of 9925 participants).

In the solution I use a RandomForestClassifier as base estimator for GridSearchCV to tune different hyperparameters. I also, included some new engineered features.

Published by

albertovilla

Excellent analytic and problem solving skills. Passionate about software development and turning data data into products / actionable insights.

Leave a Reply

Your email address will not be published. Required fields are marked *