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GitHub / IDB-FOR-DATASCIENCE / Predictive-Excellence-Engine
In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.
Stars: 11
Forks: 3
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 1.31 MB
Dependencies:
0
Created: over 3 years ago
Updated: 6 months ago
Last pushed: almost 3 years ago
Last synced: 4 months ago
Commit Stats
Commits: 6
Authors: 1
Mean commits per author: 6.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/IDB-FOR-DATASCIENCE/Predictive-Excellence-Engine
Topics: forecasting, lstm, sarimax, timeseries, var, vecm, xgboost
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