Inspiration - To test new Machine learning platform 'eazyml' for California Wild Fire Dataset

What it does - To Predict intensity of land loss (In Acres) because of wild fire in California

How we built it - We used eazyml based User Interface and APIs to build this project.

Challenges we ran into - How to select important features. eazyml based sophisticated platform helped so much to overcome this challenge.

Accomplishments that we're proud of - Good prediction result

What we learned - How to use eazyml api to accomplish prediction task.

What's next for California_Fire_Incidents_Acres_Prediction - How to check whether reported incident is major or not

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