Hey Dev community! 👋
I’m Arpit Kadam, a third-year AIML student passionate about all things artificial intelligence🤖 and machine learning 📊. I’ve learned quite a bit along the way. Today, I want to share my experience and the roadmap that has helped me grow as an AI/ML engineer, hoping it will serve as a useful guide for anyone starting out!🌱
📚Start with the Basics: Build a Strong Foundation
Before diving into the complex world of AI and ML, it’s crucial to have a solid understanding of programming fundamentals, mathematics, and statistics 🧠.
🧑💻Learn Core Machine Learning Concepts
Once you’ve got the basics down, it’s time to get hands-on with machine learning algorithms🛠️.
🔑 Real-World Projects: The Key to Mastery
Theory is important, but nothing beats learning from real-world projects✨. Feel free to check out my projects on my GitHub Page => https://github.com/ArpitKadam
🔬Stay Curious: Explore Advanced Topics
I’m constantly trying to enhance my knowledge, not just to shine in projects but also to contribute more effectively to the field.
🤝 Share and Collaborate
Finally, I can’t stress this enough: Document your work and share it! 📢Whether through blog posts, GitHub repositories, or presentations, sharing not only helps you retain knowledge but also opens doors to networking and collaboration.
📫 Let's Connect!
If you’d like to discuss AI/ML, collaborate on a project, or just want to chat about tech, feel free to reach out to me! Here’s where you can find me:
Email: arpitkadam922@gmail.com 📧
GitHub: https://github.com/ArpitKadam 💻
Phone: +91-8767375722 📞
Instagram: https://www.instagram.com/arpit__kadam/ 📸
I’m always open to learning, connecting with like-minded individuals, and collaborating on interesting projects! Feel free to ping me on any of the platforms above. 😊
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