Implement a jupyter notebook with a full guide of 'how-to-timeseries in FEDOT'

[J3FALL]

Fedot provides functions for timeseries forecasting and some examples can be seen in examples/time_series_forecasting.py. It could be useful to extend the examples with a 'comprehensive guide for dummies' how to forecast timeseries using Fedot framework.

What can be included in:

• Timeseries format representations? Simple visualization. Fedot TS-format
• Synthetic timeseries generation
• Some real examples? (Stock prices for instance)
• Onestep prediction with 1 model (without exog)
• What is exog values? Onestep with exog
  • Multistep predictions with/without exog
• Multiscale predictions (trend + residual)
• Predictions with composite model
• Composer-based chain generation for timeseries (?)

[J3FALL]

Current version: https://github.com/Dreamlone/ITMO_materials/blob/master/FEDOT_examples/Time%20series%20forecasting%20with%20FEDOT.ipynb