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Repository for the group project of my probabilistic machine learning class

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Probabilistic Machine Learning

  • Topic: Gaussian Process Regression on telecommunication data

Setting up

use

conda env create -p ./.conda -f environment.yml

to set up environment. use

conda activate ./.conda

to activate the environment.

Data

  • hw_device: processor
  • hw_model: mobile phone model
  • lon, lat: coordinates
  • RSSNR: Reference Signal Signal-to-Noise Ratio
    • Signal to noise ratio, measured using a certain reference signal
  • RSRP: Reference Signal Received Power
    • received power at the mobile device
    • used by the mobile phone to determine best cell tower to use
  • CQI: Channel Quality Indicator
    • value for signal quality
    • influenced by signal strength, noise, intereference levels, etc.
  • model: mobile phone model (again?)
  • RSRQ: Reference Signal Received Quality
    • ratio between signal power and noise, inference power
  • RSSI: Received Signal Strength Indicator
    • only shows absolute received signal power

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Repository for the group project of my probabilistic machine learning class

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