🚀 Entry-Level ML Engineer Bootcamp

Welcome to the Entry-Level ML Engineer Bootcamp! This program is designed to help you kickstart your journey in ML by learning the fundamentals of machine learning through hands-on projects.

📅 Bootcamp Structure

The program is divided into four modules (weeks), each covering a crucial stage of the ML pipeline:

1. Week 1 - Getting the Data: Learn how to collect and prepare datasets for ML projects.
2. Week 2 - Cleaning and Validating Data: Understand data preprocessing, handling missing values, and feature engineering.
3. Week 3 - Training Models: Explore different ML models, train them.
4. Week 4 - Deploying Models: Learn how to deploy models to production and make them accessible.

🌟 How to Use This Repo

1. Fork & Star this repository ⭐ if you find it useful.
2. Clone your fork to your local machine
3. Work on the exercises and push your solutions to your own repo.

🛠 Found a Bug or an Error?

If you spot any issues, mistakes, or have suggestions for improvements, please create an issue in this repository. Your feedback helps us make the bootcamp better!

❓ Need Help?

Join our community and ask your questions! We encourage peer-to-peer learning and collaboration.

📩 Contact Us: contact@1337ai.org

Let’s learn and grow together! 🚀