Syam-1133/End-to-End-ML-model

This project demonstrates the implementation of an end-to-end machine learning model using the Algerian Forest Fires dataset. The goal of this model is to predict forest fire occurrences based on various environmental factors such as temperature, humidity, and wind speed. # End-to-End-ML-model This project demonstrates the implementation of an end-to-end machine learning model using the Algerian Forest Fires dataset. The goal of this model is to predict forest fire occurrences based on various environmental factors such as temperature, humidity, and wind speed.