30lm32 / ml-time-series-analysis-on-sales-data

Time Series Decomposition techniques and random forest algorithm on sales data

Date Created 2018-03-16 (6 years ago)

Commits 10 (last one 2 years ago)

Stargazers 57 (0 this week)

Watchers 3 (0 this week)

Forks 22

License unknown

Ranking

RepositoryStats indexes 610,149 repositories, of these 30lm32/ml-time-series-analysis-on-sales-data is ranked #438,030 (28th percentile) for total stargazers, and #430,783 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,417/18,129.

30lm32/ml-time-series-analysis-on-sales-data is also tagged with popular topics, for these it's ranked: machinelearning (#208/260), time-series-analysis (#119/153), sklearn (#104/126)

All Topics

sales seaborn sklearn datamining statsmodels machinelearning regression-trees sales-forecasting time-series-analysis time-series-decomposition

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2025-01-30 @ 08:27am, id: 125558896 / R_kgDOB3vgcA