I have analysed whether BTC can be considered a hedge against inflation by critically evaluating the work of scholars and implementing my own analysis of the underlying data using Vector Autoregressive and Dynamic Conditional Correlation. 

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I have used classification, association rule, clustering and regression machine learning algorithms to predict outcomes from different datasets.

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This project focuses on predicting whether the patients in the dataset will suffer from a stroke or not, by building a machine learning algorithm. I used three different big data technologies: Logistic Regression, Random Forest, and Artificial Neural Networks.                                                                                            

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Developing a regression model to help a Motor Insurance Company establish the reason for insurance payment changes and what affects the insurance claim rates. The regression model is used to predict payments and number of claims for different scenarios.