Titanic Survivor Prediction

Implementation of decision tree classifier from scratch and comparison against sklearn implementation of decision trees and random forest on Kaggle's Titanic Survivor Prediction dataset. The obtained accuracy is 86%.

Project information

Category: Kaggle
Date: December 2018
Challenge: Kaggle Challenge
Code: Google Colab Notebook

Tech stack

Decision Tree
Random Forest
scikit-learn

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