We need predict the forest cover type (the predominant kind of tree cover) from strictly cartographic variables (as opposed to remotely sensed data). The actual forest cover type for a given 30 x 30 meter cell was determined from US Forest Service (USFS) Region 2 Resource Information System data.
Dataset url: [Kaggle](https://www.kaggle.com/competitions/forest-cover-type-prediction/data)
- Python
- Flask
- Machine learning
The dataset used to predict stroke is a dataset from Kaggle. This dataset has been used to predict student performance with different model algorithms. This dataset has:
- 581012 samples or rows
- 55 features or columns
- 1 target column (Cover_Type).
Creating conda environment
conda create -p venv python==3.8 -y
activate conda environment
conda activate ./venv
Install requirements
pip install -r requirements.txt
Run the live server using uvicorn
python app.py
To launch ui
http://127.0.0.1:5000/
- Scientists can predict future wild fires & hence can save flora and fona.
- Fire Rating Systems can be developed.
