kumarmohit0911/Algerian_forest_fire

Forest fire data analysis Here's a draft README file for your project based on the provided link: --- # Algerian Forest Fire Analysis This project focuses on analyzing forest fire data from Algeria to gain insights into fire patterns, contributing factors, and potential environmental impacts. The dataset used for this analysis provides valuable information on meteorological and fire-specific attributes. ## Table of Contents - Introduction - Dataset Description - Tools and Libraries Used - Analysis Highlights - How to Run the Notebook - Conclusion - Acknowledgements --- ## Introduction Forest fires have devastating effects on ecosystems, biodiversity, and local economies. This project aims to analyze forest fire occurrences in Algeria, leveraging data science techniques to uncover patterns and relationships within the data. ## Dataset Description The dataset includes meteorological parameters, fire-specific data, and geographical details. Key features include: - Temperature - Humidity - Wind speed - Rainfall - Fire occurrence status The dataset is divided into two regions: **Bejaia** and **Sidi Bel-abbes**, each with distinct environmental characteristics. ## Tools and Libraries Used The project utilizes the following technologies: - **Python**: Primary programming language - **NumPy**: Numerical computations - **pandas**: Data manipulation and analysis - **Matplotlib** and **Seaborn**: Data visualization - **Jupyter Notebook**: Interactive coding and exploration ## Analysis Highlights - **Data Cleaning**: Missing values and inconsistencies were handled to ensure accuracy. - **Exploratory Data Analysis (EDA)**: Visualizations were created to identify patterns, such as the correlation between temperature and fire occurrences. - **Feature Engineering**: Relevant features were extracted and analyzed to enhance understanding of fire conditions. ## How to Run the Notebook 1. Clone the repository: ```bash git clone github.com ``` 2. N …