Adaptive Learning, Stock Market, Predictions, Machine Learning, Artificial Intelligence.
N=60; y,wn = lmsPred(x_train,l,u,N) To visualize the input data and the learning curve, we will plot as follows: plt.plot(x, color = 'black') plt.plot(y, color = 'red') plt.show() And to evaluate the percentual error of our prediction: pred = y[-l:] realvalues = x[-l] error =