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S+P Week 2: Time Series Forecasting by Fahim Sa is a document available to read on EtoBox.

What is S+P Week 2: Time Series Forecasting about?

The document is a Jupyter notebook that demonstrates time series forecasting using TensorFlow and Keras. It generates synthetic time series data with trend, seasonality and noise components. It uses windowed datasets and RNN models to perform multi-step ahead forecasting on the time series. It experiments with different hyperparameters like learning rate schedules and window sizes to improve the forecasting accuracy.

Author

Fahim Sa

Language

EN