Titanic Kaggle Machine Learning Competition
(Reference: www.kaggle.com/c/titanic/overview)
This competition started in 2012.
By joining, you or your team can submit an entry to determine how accurate your
machine learning process is.
The Data consists of 2 csv files, one training set (891 passengers) and one test set (418 passengers).
Survival Numbers by Age
Columns:
Survival: Survival (only in training data set)
PassengerId: Unique ID of a passenger.
Pclass: Ticket class
Sex: Sex
Age: Age in years
Sibsp: # of siblings / spouses aboard the Titanic (deleted)
Parch: # of parents / children aboard the Titanic (deleted)
Ticket: Ticket number (deleted)
Fare: Passenger fare (deleted)
Cabin: Cabin number (deleted)
Embarked: Port of Embarkation (deleted)
Survival by Port of Embarkation (Total Passengers and Separated by Class)
C(1) = Cherbourg, Q(2) = Queenstown, S(3) = Southampton
Machine Learning Analysis & Kaggle Submission Score
