A Machine Learning kernel designed to predict titanic survival. Model is trained and tested on Titanic Dataset. Model gains an accuracy of 0.868 on Test dataset. Training Dataset is obtained from Kaggle website.
Details of Files:
train.csv consists of labeled training data. test.csv consists of test data. Titanic.ipynb consists of jupyter notebook. submission.csv consists of output of model tested on test data. Notebook is built using following libraries: Pandas, numpy, sklearn, seaborn, matplotlib.