Predict survival on titanic dataset.

1)The .ipynb file starts with data visualization

2)Process the data and perform one hot encoding if required

3) Compare model between two datasets

-drop age values and then train , predict on data

-predict age values , replace them and then train , predict on data

Recieved Higher Accuracy and requires less components if age is precicted beforehand.

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Files:

train.csv-Training data

test.csv-Test data

gender_submission-ground truth for test data

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Submitted as a project For Intro to Ml course

Team:

jp5881

tc3142