rajadasgupta/Algerian-Forest-Fires

predict the fire area of forest fires using meteorological and other data # Algerian-Forest-Fires predict the fire area of forest fires using meteorological and other data Steps to be followed: 1. Create a GIT reporsitory and add readme, Licesne and gitignore file 2. Create the environment for the project conda create -p venv python==3.7 -y 3. Activate conda environment (from cmd prompt) conda activate venv\ 4. Tested the Exception and loggin code 5. Added .github\workflow file for CI/CD pipleline 6. create the app in Heroku and generate the API key 7. Add the secrets in GITHUB with the heroku secrets 8. Add the dockerfile before deplying the code in heroku 9. Build the docker image: is the docker image name docker build -t forest-ml-project:latest . 10. to list the docker images and check the image is built correctly docker images (#get the docker image ID to run the docker image) 11. to run docker image docker run -p 5000:5000 -e PORT=5000 12. To check running docker images docker ps (#get the container ID of the running image) 13. To stop running container docker stop 14. In order to use jupyter notebook within VS code. Install the ipykernel pip install ipykernel 15. Perform all cleaning, data processing and model buildin in jupyter notebook 16. Pickle the best model