This is the list of available examples in the Jupyter Notebook format.
You can easily open them in Google Colab or launch them with Binder by clicking on the appropriate badge.
You can start working with the template notebook.
In the ClassificationExample-ApplePrice notebook, there is an example of classification with Apple stock price data.
The regression example shows the prediction of the next temperature value.
It contains three approaches:
- prediction based on temperature values only,
- prediction with added additional features,
- prediction based on selected features in the previous step.
A table comparing the results is attached at the end.
The second regression example works with household electric power consumption data.
As in the example with temperature, three approaches of different complexity are evaluated.
