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.

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

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