BITCOIN PREDICTION USING MACHINE LEARNING WITH ARDUINO

The goal of this paper is to ascertain with what accuracy the direction of Bitcoin price in USD can be predicted. The price data is sourced from the Bitcoin Price Index. The task is achieved with varying degrees of success through the implementation. The Random Forest achieves the highest classification accuracy. Finally, both deep learning models arebench marked on both a GPU and a CPU with the training time on the GPU outperforming the CPU implementation by 67.7%. Also the temperature of the mining machine is identified by temperature sensor and controlled by the CPU fan and peltier module and gives the notifications if the temperature is increased.