Scripts which use a large dataset, analysing sensor information, from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device, obtained from the UCI machine learning repository. Data was used to build a simple linear regression model to predict temperature depending on the sensor data.
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A linear regression model using chemical sensor data to predict temperature was written in Python. Predicted variable can be readily changed with statistical analysis and data visualisation performed in MATLAB.
rafat-chowdhury/AirQualityML
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A linear regression model using chemical sensor data to predict temperature was written in Python. Predicted variable can be readily changed with statistical analysis and data visualisation performed in MATLAB.
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