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GitHub / Pradnya1208 / Time-series-forecasting-using-Deep-Learning

The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pradnya1208%2FTime-series-forecasting-using-Deep-Learning
PURL: pkg:github/Pradnya1208/Time-series-forecasting-using-Deep-Learning

Stars: 18
Forks: 4
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 5.91 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: cnn, cnn-lstm-models, deep-learning, lstm-model, lstm-neural-networks, tensorflow, time-series, time-series-forecasting

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