Structuring a Real-World Machine Learning Project from Scratch
When I started working with Project Structure, I quickly realized there was a gap between theory and what actually happens in practice. This post is about how i structured a real ml project from scratch. I'll walk you through what I learned, what tripped me up, and the lessons that stuck with me. No fluff — just honest notes from someone who went through it. Introduction to Machine Learning Project Structure I'll never forget my first machine learning project. I was excited to dive in and start building, but I made a critical mistake: I put all my code in a single, massive script. It wasn't long before I realized that this approach wouldn't scale, especially when I added a second teammate to the project. The script was cumbersome, difficult to navigate, and prone to errors. I learned the hard way that a well-structured project is essential for success in machine learning. As I worked through the challenges of building a machine learning project from scratch, I disco...