Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
offers a powerful approach for modeling temporal dependencies in time series data, which can be particularly useful for predicting Bitcoin price movements and making trading decisions. after 20 epochs of data being optimized based on accuracy metrics Plotting Confusion-matrix and classification