https://github.com/md-emon-hasan/evidently-ai
Evidently AI in tracking, analyzing, and visualizing machine learning model performance and data drift ensure their reliability over time.
https://github.com/md-emon-hasan/evidently-ai
evidently evidentlyai model-evaluation model-monitoring monitoring-tool tracking tracking-system
Last synced: about 2 months ago
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Evidently AI in tracking, analyzing, and visualizing machine learning model performance and data drift ensure their reliability over time.
- Host: GitHub
- URL: https://github.com/md-emon-hasan/evidently-ai
- Owner: Md-Emon-Hasan
- License: apache-2.0
- Created: 2024-07-24T11:26:52.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-24T11:46:08.000Z (about 1 year ago)
- Last Synced: 2025-01-13T08:46:21.062Z (9 months ago)
- Topics: evidently, evidentlyai, model-evaluation, model-monitoring, monitoring-tool, tracking, tracking-system
- Language: Jupyter Notebook
- Homepage:
- Size: 8.08 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Evidently-AI
Welcome to the **Evidently-AI** repository! This repository focuses on using Evidently AI, a tool for monitoring and evaluating machine learning models. Whether you're new to Evidently AI or looking to enhance your model evaluation skills, you'll find tutorials, examples, and projects here to support your learning journey.
## 📋 Contents
- [Introduction](#introduction)
- [Topics Covered](#topics-covered)
- [Getting Started](#getting-started)
- [Contributing](#contributing)
- [Challenges Faced](#challenges-faced)
- [Lessons Learned](#lessons-learned)
- [Why I Created This Repository](#why-i-created-this-repository)
- [License](#license)
- [Contact](#contact)
---
## 📖 Introduction
This repository provides comprehensive resources for learning and using Evidently AI, covering fundamental concepts, practical examples, and hands-on projects. Whether you're evaluating model performance, monitoring drift, or exploring Evidently AI's capabilities, this repository will guide you through the basics and advanced uses of Evidently AI.
---
## 🔍 Topics Covered
- **Setting Up Evidently AI:** Installation and basic project configuration.
- **Model Evaluation:** Tools and techniques for assessing model performance.
- **Monitoring Drift:** Methods for detecting and managing model drift.
- **Visualization:** Creating visualizations to interpret model results.
- **Integration:** Connecting Evidently AI with various machine learning frameworks.
- **Examples and Projects:** Real-world applications and demo projects.
---
## 🚀 Getting Started
To get started with Evidently-AI projects, follow these steps:
1. **Clone the repository:**
```bash
git clone https://github.com/Md-Emon-Hasan/Evidently-AI.git
```
2. **Navigate to the project directory:**
```bash
cd Evidently-AI
```
3. **Explore topics and examples:**
- Each directory contains tutorials, examples, or projects related to specific Evidently AI topics.
---
## 🤝 Contributing
Contributions to improve or expand the repository 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:**
- Add new tutorials, examples, or improve existing documentation.
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
Throughout the development of this repository, challenges were encountered, including:
- Understanding Evidently AI's API and customization options.
- Integrating Evidently AI with different machine learning workflows.
- Managing model performance metrics and visualizations effectively.
---
## 📚 Lessons Learned
Key lessons learned from developing this repository include:
- Mastery of Evidently AI fundamentals and best practices.
- Practical application of Evidently AI in monitoring and evaluating machine learning models.
- Importance of clear documentation and structured project organization in model evaluation.
---
## 🌟 Why I Created This Repository
I created this repository to provide a structured and beginner-friendly resource for learning Evidently AI. It aims to empower developers and data scientists with the tools and knowledge to effectively monitor and evaluate their machine learning models using Evidently AI.
---
## 📜 License
This project is licensed under the GNU General Public License v3.0. See the [LICENSE](LICENSE) file for more details.
---
## 📬 Contact
- **Email:** [iconicemon01@gmail.com](mailto:iconicemon01@gmail.com)
- **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, feedback, or collaboration opportunities!
---
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