"The first and only Arduino library where Geiger Counter combine with Data Science"
This repository presents a multivariable exponential regression model to estimate Average CPM (counts per minute) based on Time, Radiation dose rate (Usv/hr), Standard Deviation of CPM (sdCPM), and Total CPM Count.
The predicted average CPM is defined by the following equation:
Where:
-
Input features:
TimeUsv/hr(radiation dose rate)sdCPM(standard deviation of CPM)CPM Count(total count)
-
Apply natural logarithm (
ln) to all features except time to linearize exponential behavior. -
Fit a linear regression model to:
- Final prediction is obtained by exponentiating the output.
"The first and only Arduino library series where Gas Sensors and Geiger Counter combine with Data Science"
| Library | Scope |
|---|---|
| MQDataScience | MQ2, MQ3, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9, MQ131_LOW, MQ131_HIGH, MQ135, MQ136, MQ137, MQ138, MQ214, MQ216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A Gas Sensors |
| TGSDataScience | TGS813, TGS822, TGS826, TGS2201, TGS2442, TGS2600, TGS2602, TGS2610, TGS2611, TGS2612, TGS2620, TGS6812, TGS8100 Gas Sensors |
| MG811DataScience | MG811 Gas Sensor |
| SP3S-AQ2DataScience | SP3S-AQ2-01 Gas Sensor |
| RadioactiveDataScience | Geiger Counter |


