Okay, so, I’ve been messing around with this “angels prediction” thing, and I wanted to share how it all went down. Nothing fancy, just my experience.
Getting Started
First, I needed some data. You know, the stuff to actually make predictions with. So, I dug around for historical data for the Angels – game results, player stats, the whole nine yards. It was a bit of a pain to gather everything, but I eventually got it all in a spreadsheet. Not the prettiest, but it worked.
Cleaning it up. A messy job!
Then, I started the boring part that I dislike most: cleaning the data. There were missing values, weird outliers, and all sorts of junk. I spent a good chunk of time just wrestling with the data, trying to make it usable. lots of replaces, deleteing rows and stuff like that.
The Model Stuff
Once the data looked somewhat decent, I started playing with some prediction models. I’m no expert, so I kept it simple. I tried a basic linear regression model at first. It gave me some results, but they weren’t very good. It was like trying to predict the weather with a broken thermometer.
Trying Things Out
I messed around with a few other models, tweaking parameters, adding variables, and basically just experimenting. Some things worked better than others. It was a lot of trial and error, to be honest. Most of it time it failed to produce any good result.
- Tried a linear regression model.
- Messed with a few other models.
- Tweaked a bunch of settings.
The “Aha!” Moment (Sort Of)
Eventually, I stumbled upon a model that seemed to give slightly better predictions. It wasn’t perfect, but it was an improvement. I felt like I was actually getting somewhere! It was a small victory, but I’ll take it.
Results and Reality
The final predictions? Well, they’re still just predictions. Let me make it super clear, It’s not like I’ve cracked the code or anything. Baseball’s a crazy game, and anything can happen. I consider this a fun experiment to pass time and learn a thing or two.
The Bottom Line
The whole process was a learning experience. I started with a question, gathered some data, and tried to build something that could give me answers. I’m not gonna get rich with it, but I did make a simple predictor that works and I kinda understand how.
So, that’s my “angels prediction” story. It’s not a masterpiece, but it’s real. And it was fun, I learned a thing or two in the process.
