Hello and welcome to my AI/ML Learning Journey! 👋
This space is more than just a repository — it's my digital notebook, learning log, and a growing showcase of everything I’m exploring on my path to becoming a Machine Learning Engineer.
After completing my Computer Science degree, I discovered a deep passion for Artificial Intelligence, Machine Learning, and the ways intelligent systems are reshaping our world.
From building foundational models to experimenting with Generative AI, and diving into MLOps, this journey represents my personal commitment to lifelong learning and hands-on experimentation.
The core mission of this journey is simple but powerful:
🌟 To become an expert in AI/ML by continuously learning, applying, and sharing real-world, intelligent solutions using Python and modern machine learning techniques.
I believe true mastery comes from doing, not just reading. This repository will evolve with me — reflecting what I learn, build, break, and improve over time.
Here’s the roadmap I’m following:
- Revisit Python basics to ensure a rock-solid foundation.
- Master Machine Learning fundamentals — supervised, unsupervised, and ensemble methods.
- Explore Deep Learning with frameworks like TensorFlow and PyTorch.
- Dive into Generative AI and experiment with tools like GPT, DALL·E, and more.
- Learn about MLOps, deployment pipelines, and productionizing models.
This is only the beginning. I’ll be updating this repository regularly with code, notes, projects, and reflections as I grow.
If you're also learning or working in the field of AI/ML, feel free to:
- ⭐️ Star the repo to stay updated
- 🛠️ Fork it and build on top of what I share
- 💬 Open discussions or connect with me for collaborations
Together, let’s build, learn, and grow! 💡