Titanic
disaster occurred 100 years ago on April 15, 1912, killing about 1500
passengers and crew members. The fateful incidents still compel the
researchers and analysts to understand what could have led to the survival of
some passengers and demise of the others. With the use of machine learning
methods and a dataset consisting of 891 rows in the train set and 418 rows in
the test set, we attempt to determine the correlation between factors such as
age, sex, passenger class, fare etc. to the chance of survival of the
passengers. These factors may or may not have impacted the survival rates of
the passengers. In this research paper, we use various machine learning
algorithms namely Logistic Regression, Naïve Bayes, Decision Tree, Random
Forest to predict the survival of passengers. In particular, we attempt to
compare these algorithms. Dr. Prabha Shreeraj Nair"Analyzing Titanic
Disaster using Machine Learning Algorithms" Published in International
Journal of Trend in Scientific Research and Development (ijtsrd), ISSN:
2456-6470, Volume-2 | Issue-1 , December 2017, URL:
http://www.ijtsrd.com/papers/ijtsrd7003.pdf
http://www.ijtsrd.com/engineering/computer-engineering/7003/analyzing-titanic-disaster-using-machine-learning-algorithms/dr-prabha-shreeraj-nair |
