This repository is a collection of Python-based mini projects built while learning and applying concepts step by step.
The goal of this repository is not just to learn Python, but to:
- Build real-world thinking 🧠
- Develop problem-solving skills ⚡
- Understand how systems work behind the scenes ⚙️
- Move towards Machine Learning and MLOps 🚀
I follow a simple rule:
Learn → Build → Break → Fix → Repeat
Instead of passive learning, I focus on:
- Writing code daily
- Experimenting with logic
- Making mistakes and fixing them
- Improving structure over time
- Python 🐍
- Command Line Programs
- Basic Data Handling
- Logic Building
To become a Machine Learning Engineer with a strong MLOps mindset, focusing on:
- Data pipelines
- Automation systems
- Model deployment
- Scalable workflows
- Adding logging systems
- Improving project structure
- Writing cleaner and modular code
- Building ML-based projects
- Exploring deployment and automation
This repository reflects consistency over perfection.
Every project here represents:
- A concept learned
- A problem solved
- A step forward
Pratyush Guleria
Aspiring ML Engineer (MLOps Focus)
If you find this journey useful, consider giving it a sta