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 2 years ago)

Stargazers 36 (0 this week)

Watchers 2 (0 this week)

Forks 6

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RepositoryStats indexes 598,732 repositories, of these Pradnya1208/Time-series-forecasting-using-Deep-Learning is ranked #543,012 (9th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,231/17,660.

Pradnya1208/Time-series-forecasting-using-Deep-Learning is also tagged with popular topics, for these it's ranked: deep-learning (#8,024/8543), tensorflow (#2,180/2258), time-series (#625/674), cnn (#518/557), time-series-forecasting (#96/101)

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: 2024-12-02 @ 04:38am, id: 437768420 / R_kgDOGhfQ5A