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If you kept the colors you should get better results. It is excellent that you shared all you code in the notebook. You should also try to import additional datasets and enrich the provided data.
I don’t see any data prep and clean. How did you deal with the missing values?
Also your code is unreadable, you don’t have any plots, and this does not really seems like article. You could update it with .ipynb file or html directly to the site.
The plots are not really readable. Good job with the missing data, but upload the code as a notebook file, or html, so it can be read here, otherwise it is not possible for anyone to give you feedback and recommendations.
Great job. The article looks very good. One thing to fix – make it all in English.
For the data clean and prep you did good job – I could recommend that you may do some of the following checks: outliers, periodic, trend.
It is great that you implemented ARIMA model. Optional you could try SWR, PCA or GARCH.
Another important part of the task is the metrics.
Keep up with the job and I am sure other mentors will give you more comments and recommendations.
Great! Thank you for sharing.