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GitHub / nitinjosephrepo / Google-Causal-Impact-Inferring-the-effect-of-an-event

The Causal Impact model lets you examine ecommerce and marketing time series data to understand whether changes have led to a statistically significant performance improvement. Here's how to use PyCausalImpact to analyse changes in marketing activity or in this case on Boeing stock price

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitinjosephrepo%2FGoogle-Causal-Impact-Inferring-the-effect-of-an-event

Stars: 2
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 239 KB
Dependencies: 0

Created: over 1 year ago
Updated: 3 months ago
Last pushed: over 1 year ago
Last synced: 2 months ago

Topics: causalimpact, causality-analysis, econometrics

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