scientific-visualization-book VS sktime

knowing matplotlib really well gets really pro viz tbh, this https://github.com/rougier/scientific-visualization-book is the best resource for it imo. Its a bit more work but you can get really great results

I had the same problem until I found this tutorial:

https://github.com/rougier/matplotlib-tutorial

If you wan something deeper the same person has written a book:

https://github.com/rougier/scientific-visualization-book

i saw this one : > https://github.com/rougier/scientific-visualization-book

I re-created the hatching using matplotlib as shown here.

From the open access book "Scientific Visualization: Python + Matplotlib. Code: dungeon.py

For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book

I would recommend you to read the following paper: https://arxiv.org/abs/1909.04939 and their implementation: https://github.com/hfawaz/InceptionTime . Moreover, check out sktime: https://github.com/sktime/sktime

I initially used the SkTime's Croston class SKTime Croston but when I try to get the fitted values using the steps in the discussion on github, the values are the same, a straight line throughout the in-sample to ou-of-sample predictions.

Time series -> https://github.com/alan-turing-institute/sktime have a look and have fun :)

SKTime

https://github.com/alan-turing-institute/sktime

It provides specialized time series algorithms and scikit-learn compatible tools to build, tune and validate time series models for multiple learning problems.

sktime is built by an active open-source community, working together during regular meetings, workshops and sprints. For new contributors, we provide mentoring sessions and tutorials.

If you are interested in contributing or just a chat about the project, feel free to submit a PR or just reach out to us. We welcome all kinds of contributions: code, API design, testing, documentation, outreach, mentoring and more.