This project provides a hands-on exploration of statistical analysis techniques applied to the Haberman's Survival dataset. You will learn to extract meaningful insights from patient data, including age, year of operation, and number of positive axillary nodes, to predict survival rates after breast cancer surgery.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Objective of this analysis is to classify the class variable into people who have surivived after operation and people who didn't surivive. We try to create a simple model, in order to classify the same.
Exploratory Data Analysis to predict whether a patient undergoing surgery for breast cancer survives for more than 5 years or not
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