Release Name : Apress.Scaled.Forecasting.with.Python.and.R.With.Forecasting.for.Several.Different.Types.of.Models.and.Time.Series-QUiD
Publisher : Safaribooks
Release Date : 2021-01-16
Size : 41 x 50MB
Url : https://learning.oreilly.com/videos/scaled-forecasting-with/9781484268933/
Release Info:
In this video, you will explore forecasting techniques in Python, including how to use machine
learning models from Scikit Learn, as well as
integrating R as a sub process to gain access to the robust forecast library, incorporating the
auto.arima and tbats models. We create our own
Python class called Forecaster that stores all of the relevant information about the predictions, including error metrics, model forms,
hyperparameter selections, and the forecasts themselves. The module is written in such a way that
models can easily be added to the framework
for increasing accuracy.
- Unpack
- Open the tutorial
- Enjoy
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