๐ฅ **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.
๐ **Project Overview:**
Dataset: Algerian Forest Fire dataset (2012)
Goal: Predict Temperature using regression modeling
** Steps Performed:**
๐ Exploratory Data Analysis (EDA)
๐งน Data Cleaning & Preprocessing
๐ Building a Linear Regression Model
๐ฏ Model Evaluation & Predictions
๐ง **Technologies Used:**
Python (Pandas, NumPy, Seaborn, Matplotlib)
Scikit-learn (Linear Regression)
**Jupyter Notebook**
๐ The notebook includes detailed code and analysis for understanding the dataset and building a regression model.