is R Markdown document analyzes the Haberman dataset, focusing on patient survival following breast cancer surgery. It begins by loading necessary libraries and importing the dataset, followed by exploratory data analysis through histograms and boxplots to visualize age distribution, operation years, and axillary node counts. A neural network model is constructed using normalized features, predicting survival status based on age, operation year, and axillary nodes. The model is evaluated with a confusion matrix, and accuracy is calculated. This analysis aims to understand survival patterns and develop predictive insights from patient data.

Time Series & Forecasting Stock Price BBCA

This assignment explores the relationship between Olympic medal counts and various economic indicators, focusing on GDP and population metrics. The project employs statistical techniques and data visualization tools to present findings clearly and effectively.

Data from Economic Policy Institute’s State of Working America Data Library

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