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I am trying to replicate the key influencer visual in Python for predicting stock. I would like to know what approach is taken from an algorithm perspective. How specific attributes in the features are mentioned that causes rise in stock like seen in 4? for example; if i have a column activity (1. open; 2. closed). How does the visual say that the stock decreases when activity is 2.closed?
@Anonymous
Reach out to Justyna Lucznik. She should be able to help you out to get the answer to your question which involves AI and ML in Power BI.
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