The Night I Realized I Hadn’t Actually Learned Anything
It was a Tuesday evening, about eight months into what I had been calling my “machine learning journey.”
A colleague who knew I had been studying ML seriously casually forwarded me a small dataset of customer transactions and said, “Hey, can you build a quick churn prediction model on this? Nothing fancy. Just want to see if there’s a pattern.” I opened my laptop with confidence. At this point, I had watched somewhere north of 200 hours of machine learning tutorials. I had completed three full courses on two different platforms. I had a notes folder with over 80 pages of summarized concepts. I understood gradient descent. I could explain what a confusion matrix was. I had watched someone build a churn model on YouTube just three weeks earlier.
I stared at the blank Jupyter notebook for forty-five minutes and produced nothing useful.
Not because the problem was hard. Not because I was missing tools. But because I genuinely did not know how to start when nobody was guiding me step by step. Every tutorial I had ever watched began with a cleaned dataset, a clear objective, and an instructor who already knew the answer. I had learned to follow. I had never learned to lead.
