GodWin1100/Algerian-Forest-Fire

EDA with different classification and regression model prediction for Algerian Forest Fire data set. # Algerian Forest Fire - EDA for Algerian Forest Fire dataset. - Classification and Regression Models for predicting `Classes` between `fire` and `not-fire` and `Temperature` respectively. # ML Models ## Regression 1. Linear 2. Lasso 3. Ridge 4. ElasticNet 5. SVR 6. Decision Tree 7. Random Forest 8. AdaBoost 9. XGBoost 10. CATBoost 11. Polynomial (degree 2) ## Classification 1. Logistic 2. K-Nearest Neighbor 3. SVC 4. Naive Bayes 5. Decision Tree 6. Random Forest 7. AdaBoost 8. XGBoost 9. CATBoost # Deployed on Heroku - Deployed Link: aff-prediction.herokuapp.com - Classification Prediction API - API: aff-prediction.herokuapp.com - BODY: JSON data ```json { "day": 21, "month": "Aug", "Temperature": 36, "RH": 58, "Ws": 19, "Rain": 0.0, "FFMC": 88.6, "DMC": 29.6, "DC": 141.1, "ISI": 9.2, "Region": "Bejaia" } ``` - Regression Prediction API - API: aff-prediction.herokuapp.com - BODY: JSON data ```json { "day": 21, "month": "Aug", "RH": 58, "Ws": 19, "Rain": 0.0, "FFMC": 88.6, "DMC": 29.6, "DC": 141.1, "ISI": 9.2, "Classes": "fire", "Region": "Bejaia" } ```