Solvve / ml_temperature_anomaly

Temperature anomaly detection

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Anomaly temperature detection

License Python 3.7 scikit-learn 0.23.2 Solvve

Description

Example of the anomaly detection, using different algorithms with tuning techniques.

We follow the next steps:

  1. EDA
  2. Data preprocessing
  3. Modeling

Dataset contains > 7k rows with temperature between 2013-2014 years

Task:

Find anomaly temperature values using at least 3 algorithms

About

Temperature anomaly detection

License:MIT License


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