Reference paper: http://arxiv.org/pdf/1410.1231.pdf
In this project, the task was to predict the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitcoin trading strategy. To make these predictions, I used a machine learning technique, Bayesian Regression, and implemented this technique in Python. The Python packages used were numpy, pandas, sklearn, and statsmodels. For further details please refer Project-Bitcoin-Bayesian.Regression.pdf