🚀 US Visa Prediction - Machine Learning 🌍

🛠️ Setup Instructions

Follow the steps below to set up your environment and run the project:

1. 💻 Install Visual Studio Code

Enhance your coding experience with VS Code. It's a powerful and lightweight editor for code development.

2. 🔧 Install Anaconda

Manage environments and dependencies seamlessly with Anaconda. It’s a must-have for data science projects!

3. 📦 Install Git

Version control made easy. Get Git from Git SCM. Perfect for collaboration and keeping track of your code.

4. 🖊️ Create Flowcharts

Design beautiful, interactive flowcharts with Whimsical. Plan your project effectively!

5. 🐍 Install Python

Ensure you have Python 3.8+ installed by downloading it from Python.org. Python is the backbone of this project!

6. 📊 MLOps Tool

Leverage Evidently AI for advanced model monitoring and performance metrics. Make sure your models stay on track!

7. 📂 Dataset

Access the dataset for the project on Kaggle. Get the data and start building!

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Git Workflow 💡

Use the following commands to manage your code changes and push them to GitHub:

git add .
git commit -m "Your commit message"
git push origin main

🚀 How to Work

Use the following commands to set up and start working on the project:

conda create venv python==3.8 -y
conda activate
pip install -r requirements.txt

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Acknowledgements

• Dataset provided by Kaggle.
• Evidently AI for MLOps and monitoring tools.