Because Who Has Time for ARIMA Headaches?
I’ll be honest: time series forecasting used to make me want to switch careers and sell coffee instead ☕.
Every time someone said “Just fit an ARIMA model!” I aged 10 years and opened Stack Overflow like it was a therapy session.
So if you’ve ever stared at a time series plot and thought,
“Yeah, I’ll forecast it… later,”
welcome to the club — and this guide is for you.
Because here’s the truth: you don’t have to be a stats wizard to forecast decently.
You just need a few lazy (read: efficient) tricks — and some clever automation to do the heavy lifting.
Why I Became a “Lazy” Forecaster
I used to do everything “by the book”: clean the data, test for stationarity, find the perfect p, d, q for ARIMA, and still get results that looked like the stock market after caffeine withdrawal.
Then one day, a colleague told me:
“Bro, you’re working too hard. Let the libraries work for you.”
That’s when I discovered the lazy way: automated time series forecasting — where…