Tomorrow Rain Prediction

This project aims to predict whether it will rain tomorrow using a Random Forest classifier. The dataset used includes various weather attributes.
Table of Contents

    Introduction
    Dataset
    Installation
    Usage
    Model Training
    Evaluation
    Results
    Contributing
    License

Introduction

The goal of this project is to build a machine learning model to predict whether it will rain tomorrow. The Random Forest classifier is used due to its high accuracy and robustness.
Dataset

The dataset contains weather information for various locations and includes attributes such as temperature, humidity, wind speed, etc.
Installation

To run this project, you'll need to install the necessary dependencies.
Usage

    Clone this repository.
    Navigate to the project directory.
    Open the Jupyter notebook.

Model Training

The notebook includes steps for data preprocessing, model training, and making predictions.
Evaluation

The model is evaluated using classification metrics, including precision, recall, and F1-score.
Results

The model's performance is measured using the mentioned evaluation metrics.
Contributing

Contributions are welcome! Please open an issue or submit a pull request.
License

This project is licensed under the MIT License.