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Titanic: Machine Learning from Disaster

Kaggle Competition: Titanic: Machine Learning from Disaster.

Getting Started

Template code is provided in the notebook titanic.ipynb

Libraries used in this project:

  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Sklearn

Data

The dataset used in this project is included as test.csv and test.csv. This dataset is provided by Kaggle and contains the following attributes:

  • survival Survival (0 = No; 1 = Yes)
  • pclass Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd)
  • name Name
  • sex Sex
  • age Age
  • sibsp Number of Siblings/Spouses Aboard
  • parch Number of Parents/Children Aboard
  • ticket Ticket Number
  • fare Passenger Fare
  • cabin Cabin
  • embarked Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)

About

This is a 'top 20%' solution for classification problem.

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