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https://github.com/jeus0522/7-explore-different-classifier-ml-app
A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.
https://github.com/jeus0522/7-explore-different-classifier-ml-app
k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm
Last synced: 3 days ago
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A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.
- Host: GitHub
- URL: https://github.com/jeus0522/7-explore-different-classifier-ml-app
- Owner: jeus0522
- License: apache-2.0
- Created: 2024-08-06T23:56:43.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-07T00:02:38.000Z (3 months ago)
- Last Synced: 2024-10-17T12:42:49.382Z (20 days ago)
- Topics: k-nearest-neighbours, knn, random-forest, scikit-learn, streamlit, support-vector-machine, svm
- Language: Python
- Homepage: https://seven-explore-different-classifier-ml.onrender.com/
- Size: 7.81 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Machine Learning Project: Explore Different Classifier ML App
Welcome to the **Explore Different Classifier ML App** machine learning project repository! This project focuses on exploring and comparing various classification algorithms using machine learning techniques and providing a simple web-based application for users to interact with.
## 📋 Contents
- [Introduction](#introduction)
- [Why This Project](#why-this-project)
- [Dataset](#dataset)
- [Features](#features)
- [Setup and Installation](#setup-and-installation)
- [Demo](#demo)
- [Contributing](#contributing)
- [Challenges Faced](#challenges-faced)
- [Lessons Learned](#lessons-learned)
- [License](#license)
- [Contact](#contact)
---
## 📖 Introduction
This repository contains a machine learning project focused on exploring and comparing different classification algorithms using various metrics and providing a user-friendly web application for predictions and insights.
---
## 🎯 Why This Project
The primary motivation behind creating this project is to compare the performance of multiple classification algorithms and provide an educational tool for understanding the strengths and weaknesses of each algorithm in different scenarios.
---
## 📊 Dataset
The dataset used for this project contains relevant features and labels for classification tasks. It is crucial for training and evaluating the performance of different machine learning models.
---
## 🌟 Features
- **Data Preprocessing:** Cleaning and transforming the dataset for model compatibility.
- **Model Development:** Implementing and evaluating various classification algorithms.
- **Performance Metrics:** Comparing models based on accuracy.
- **Deployment:** Developing a simple web-based application for users to input data and obtain predictions.
---
## 🚀 Setup and Installation
To run this project locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/Md-Emon-Hasan/7-Explore-Different-Classifier-ML-App.git
```
2. Navigate to the project directory:
```bash
cd 7-Explore-Different-Classifier-ML-App
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the web application:
```bash
python app.py
```
5. Open your web browser and go to `http://localhost:5000` to interact with the app.
---
## 🌐 Demo
Explore the live demo of the project [here](https://seven-explore-different-classifier-ml.onrender.com/).
---
## 🤝 Contributing
Contributions to enhance or expand the project are welcome! Here's how you can contribute:
1. **Fork the repository.**
2. **Create a new branch:**
```bash
git checkout -b feature/new-feature
```
3. **Make your changes:**
- Implement new features, improve model performance, or enhance user interface.
4. **Commit your changes:**
```bash
git commit -am 'Add a new feature or update'
```
5. **Push to the branch:**
```bash
git push origin feature/new-feature
```
6. **Submit a pull request.**
---
## 🛠️ Challenges Faced
During the development of this project, the following challenges were encountered:
- Handling data preprocessing and ensuring compatibility with different classifier algorithms.
- Implementing and fine-tuning multiple models to achieve optimal performance.
- Designing an intuitive and informative web application interface.
---
## 📚 Lessons Learned
Key lessons learned from this project include:
- Understanding the nuances of various classification algorithms and their applicability.
- Evaluation and comparison of models using different performance metrics.
- Deployment and usability considerations for interactive web applications.
---
## 📄 License
This project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for more details.
---
## 📬 Contact
- **Email:** [[email protected]](mailto:[email protected])
- **WhatsApp:** [+8801834363533](https://wa.me/8801834363533)
- **GitHub:** [Md-Emon-Hasan](https://github.com/Md-Emon-Hasan)
- **LinkedIn:** [Md Emon Hasan](https://www.linkedin.com/in/md-emon-hasan)
- **Facebook:** [Md Emon Hasan](https://www.facebook.com/mdemon.hasan2001/)
Feel free to reach out for any questions or feedback regarding the project!
---
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