Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
plt.legend() plt.text(0.05, 0.05, f'R2 = {av_r2*100:.2f}%\nMAPE = {av_mape*100:.2f}%', transform=plt.gca().transAxes, fontsize=12) plt.grid(True) plt.show() plt.figure(figsize=(10, 6)) plt.plot(date_range, ts_data, label='Actual', color='blue') plt.plot(date_range[n_steps_in:train_size], fits1,