Okay, so today I decided to get my hands dirty with the “Bellucci Shelton Prediction” thing. I’d heard about it, sounded interesting, so I thought, “Why not?”
Getting Started
First, I needed to figure out what this Bellucci Shelton thing actually is. Turns out, after some digging, it’s all about predicting something. My initial understanding is not enough.
I went and gathered all data related to this.
The Process
I started by importing some, you know, helper things into my stuff. Like, the usual suspects for handling data.
Then, I needed to actually get the data.I found it. Phew!
After that, I did some basic cleaning. Gotta get rid of the junk, right? Removed some, filled in some blanks with averages. Nothing too crazy.
I spent a good chunk of time just, like, looking at the data. Making some charts, trying to see if anything jumped out at me. You know, getting a feel for it.
Building the Thing
Okay, time to actually build the predictor thingy. I went with something simple to start, a basic model. Figured I’d try the fancy stuff later if this worked at all.
Split the data into training and testing sets. Pretty standard stuff. Used most of it for training, obviously.
Then I, you know, trained the model. Fed it the data, let it do its thing.
Testing and Tweaking
Now for the moment of truth. I used the test data to see how well my little predictor did.
Results? Okay-ish. It wasn’t totally off-base, but definitely room for improvement. So, I tweaked some settings, re-ran it. Rinse and repeat.
Played around with different models too. Some were better, some were worse. It’s all about finding the right tool for the job, I guess.
Final(ish) Thoughts
So, after a day of messing with this, I’ve got a predictor that’s… decent. It’s not going to win any awards, but it’s a start!.
It’s definitely a learning process. Lots of trial and error. But hey, that’s what makes it fun, right?
