AlaaSedeeq/Millan-Data-Imputation-And-Forecasting
Mobile Network Traffic Forcasting using Milan's Telefonica mobile network data
This project helps mobile network operators and telecom analysts predict future mobile network traffic volumes. By analyzing historical usage data from specific geographical grid squares, it identifies patterns, fills in missing information, and forecasts upcoming demand. This allows network managers to anticipate peak loads and allocate resources more effectively.
No commits in the last 6 months.
Use this if you manage mobile network infrastructure and need to accurately forecast data traffic to prevent congestion and optimize network performance.
Not ideal if your primary concern is forecasting financial market data or sales figures, as this tool is specifically designed for mobile network traffic data.
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11
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 16, 2022
Commits (30d)
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