Description
Project Description:
1. Classification was done on the Titanic Data Set to determine if a person would die or not. A
Navies Bayes Classifier was used determine this using python Orange machine learning
library.
2. Titanic training data: https://www.kaggle.com/c/titanic-gettingStarted/download/train.csv
3. Titanic test data: https://www.kaggle.com/c/titanic-gettingStarted/download/test.csv
4. The training data and the test data was stored and retrieved from AWS DynamoDB
5. Then the training data was feed into the classifier to learn from it. Below screen shot shows
the classifier being built.
6. The final result i.e no of survival yes or no was used develop a pie chart.
URL: http://omega.uta.edu/~sxs0763/piechart.html
References:
• http://orange.biolab.si/
• http://docs.orange.biolab.si/tutorial/rst/classification.html
• http://docs.orange.biolab.si/tutorial/rst/data.html
• http://boto.readthedocs.org/en/latest/dynamodb_tut.html
• http://www.highcharts.com/demo/pie-basic
• http://jsfiddle.net/gh/get/jquery/1.9.1/highslidesoftware/highcharts.com/tree/master/samples/highcharts/demo/pie-basic/
