Replace current datasets in tutorials with internal datasets

[ostreech1997]

Before submitting (must do checklist)

• Did you read the contribution guide?
• Did you update the docs? We use Numpy format for all the methods and classes.
• Did you write any new necessary tests?
• Did you update the CHANGELOG?

Proposed Changes

Closing issues

Closes #192.

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Codecov Report

Attention: 42 lines in your changes are missing coverage. Please review.

Comparison is base (dd1ace5) 88.93% compared to head (93e3e4f) 87.77%.
Report is 5 commits behind head on internal_datasets.

Files	Patch %	Lines
etna/analysis/forecast/plots.py	42.85%	20 Missing ⚠️
etna/datasets/internal_datasets.py	87.75%	6 Missing ⚠️
etna/datasets/tsdataset.py	92.15%	4 Missing ⚠️
etna/models/nn/deepar_native/loss.py	94.33%	3 Missing ⚠️
etna/models/base.py	66.66%	2 Missing ⚠️
etna/pipeline/hierarchical_pipeline.py	91.66%	2 Missing ⚠️
etna/metrics/intervals_metrics.py	98.24%	1 Missing ⚠️
etna/models/nn/deepar_native/deepar.py	99.19%	1 Missing ⚠️
etna/transforms/decomposition/deseasonal.py	83.33%	1 Missing ⚠️
etna/transforms/math/limit.py	97.82%	1 Missing ⚠️
... and 1 more

Additional details and impacted files

@@                  Coverage Diff                  @@
##           internal_datasets     #202      +/-   ##
=====================================================
- Coverage              88.93%   87.77%   -1.16%     
=====================================================
  Files                    205      199       -6     
  Lines                  13026    13181     +155     
=====================================================
- Hits                   11585    11570      -15     
- Misses                  1441     1611     +170     

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d-a-bunin commented on 2023-12-20T08:15:03Z
----------------------------------------------------------------

May be we should add here that there is a dedicated documentation page where user could read about each dataset.