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.

Date Created 2021-12-13 (3 years ago)

Commits 17 (last one 3 years ago)

Stargazers 36 (0 this week)

Watchers 2 (0 this week)

Forks 7

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RepositoryStats indexes 630,031 repositories, of these Pradnya1208/Time-series-forecasting-using-Deep-Learning is ranked #566,078 (10th percentile) for total stargazers, and #480,376 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,199/18,981.

Pradnya1208/Time-series-forecasting-using-Deep-Learning is also tagged with popular topics, for these it's ranked: deep-learning (#8,253/8797), tensorflow (#2,221/2300), time-series (#650/697), cnn (#533/572), time-series-forecasting (#105/111)

All Topics

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

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14 commits on the default branch (main) since jan '22

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updated: 2025-02-25 @ 09:57am, id: 437768420 / R_kgDOGhfQ5A