I failed my first stats class in college.
Not because the math was hard. Because every example in the textbook was about iris flowers or Boston housing prices and I couldn't figure out why anyone in real life would care. So the formulas just slid off my brain.
Years later, I'm a backend dev in Mumbai with a serious filter coffee habit and an even more serious sleep deficit. One Sunday morning, somewhere between my second tumbler of decoction and a half-broken Saturday deploy, I asked myself a question I could actually feel in my body: does more coffee actually mean I write more code?
That question is what finally taught me linear regression. Not the textbook. Not the YouTube playlist. A Google Sheet, my git log, and 30 cups of filter coffee.
Here's the whole thing, including the math by hand, the part where I got it wrong, and the Python at the end.
