K09 : Comparison of regression algorithms for multivariable drought analysis
| Students | Maria Chzhen
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| School | HWDSB - Westdale Secondary School - Hamilton |
| Level | Senior 11/12 - Grade 12 |
| Group | Group 7 - Engineering and Computing III |
| Abstract | The purpose of my project is to compare the performance of machine learning algorithms for analyzing droughts in various areas around the world and quantifying the correlation between drought and various factors, including wind speeds, evapotranspiration, precipitation, soil moisture, minimum and maximum temperature, vapour pressure, and CO2 emissions. The project also aims to identify region-based measures that humans can take to decrease the likelihood and impact of droughts. |