Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

adjusting time series intervals python

We can solve many time forecasting problems by looking at a single step into the future. However, some forecasting problems require us to understand how a signal will develop over a more extended period. Such cases require a multi-step time series forecasting approach that generates a forecast for multiple time … Read more

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

neural networks time series regression stock market prediction python tutorial keras tensorflow

This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python. We build on a previous article on stock market forecasting, in which we created a forecast for the S&P500 stock market index. The prediction interval used in this previous article was … Read more