Skip to content

agomolka/KaggleTitanicCompetition

Repository files navigation

🛳 KaggleTitanicCompetition

Exploratory data analysis for the Titanic: Machine Learning from Disaster dataset from Kaggle.com

Full Analysis : Jupyter Notebook

This is the legendary Titanic ML competition – the first challenge for me to dive into Machine Learning. I used machine learning to create a model that predicts which passengers survived the Titanic disaster.

Python Packages:

  • numpy
  • pandas
  • pickle
  • seaborn
  • sklearn
  • statistics

Classification Models Used:

  • k-Nearest Neighbours
  • Random Forests
  • Support Vector Machine

ROC Curve of my models: