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Built a predictive system to identify the likelihood of wildfire occurrence using environmental features such as temperature, humidity, rainfall, wind speed, and vegetation index ◦ Performed data cleaning, missing value imputation, normalization, feature selection (SelectKBest), and PCAfor dimensionality reduction.

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#wildfire predictions

About

Built a predictive system to identify the likelihood of wildfire occurrence using environmental features such as temperature, humidity, rainfall, wind speed, and vegetation index ◦ Performed data cleaning, missing value imputation, normalization, feature selection (SelectKBest), and PCAfor dimensionality reduction.

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