🔥 **Algerian Forest Fire - Temperature Prediction using Linear Regression**
This project analyzes the Algerian Forest Fire Dataset and builds a Linear Regression model to predict Temperature based on other environmental factors such as humidity, wind speed, and fire weather indices.
📌 **Project Overview:**
Dataset: Algerian Forest Fire dataset (2012)
Goal: Predict Temperature using regression modeling
** Steps Performed:**
📊 Exploratory Data Analysis (EDA)
🧹 Data Cleaning & Preprocessing
📈 Building a Linear Regression Model
🎯 Model Evaluation & Predictions
🔧 **Technologies Used:**
Python (Pandas, NumPy, Seaborn, Matplotlib)
Scikit-learn (Linear Regression)
**Jupyter Notebook**
📂 The notebook includes detailed code and analysis for understanding the dataset and building a regression model.