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 53 (0 this week)

Watchers 3 (0 this week)

Forks 22

License unknown

Ranking

RepositoryStats indexes 534,880 repositories, of these 30lm32/ml-time-series-analysis-on-sales-data is ranked #415,569 (22nd percentile) for total stargazers, and #399,187 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,400/14,941.

30lm32/ml-time-series-analysis-on-sales-data is also tagged with popular topics, for these it's ranked: machinelearning (#192/239), time-series-analysis (#106/135), sklearn (#102/120)

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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updated: 2024-06-15 @ 05:47am, id: 125558896 / R_kgDOB3vgcA