PLDAC19

ATidiane

Auto Regressive Models applied on Paris Subway Stations. Time Series Analysis. Predictions of affluence.

models

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1 Watchers

Jupyter Notebook Language

45.1 SrcLog Score

Cost to Build

$1.80M

Market Value

$448.6K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the ATidiane/PLDAC19 GitHub project? Description: "Auto Regressive Models applied on Paris Subway Stations. Time Series Analysis. Predictions of affluence.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone PLDAC19

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git clone https://github.com/ATidiane/PLDAC19.git

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[email protected]:ATidiane/PLDAC19.git

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Download master.zip

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