Alright folks, lemme tell you about this thing I was messing around with today, called “floyd mayweather and miss jackson.” Sounds kinda crazy, right? Well, it kinda was.
So, I started out with this dataset I found online. It was messy as hell, like someone just threw a bunch of stuff together and called it a day. First thing I did was clean it up, you know? Get rid of all the garbage, the missing values, the stuff that just didn’t make sense. That took a while, I’m not gonna lie.
Next up, I needed to figure out what the heck I even wanted to do with this data. I was just messing around, trying to see what I could see. I started throwing different algorithms at it – tried some clustering, some classification… nothing was really clicking. It was like trying to fit a square peg in a round hole.
Then I thought, “screw it,” and went back to basics. Just started visualizing the data. Made some histograms, scatter plots, the whole shebang. And that’s when I started to see something interesting. There were some weird correlations between seemingly unrelated features. Like, stuff that shouldn’t be connected, was. That’s when I knew I was onto something.
I dug deeper, and I mean deep. Started doing some feature engineering, trying to create new features that might explain these correlations. This was where it got really time-consuming. Lots of trial and error, mostly error. But eventually, I found a few things that seemed to be working.
I ended up building a model that could predict… well, I’m not gonna say what it could predict, but let’s just say it was surprisingly accurate, given the garbage data I started with. I was pretty stoked about that.
Here’s the real kicker though: The whole thing was way more complicated than it needed to be. I spent way too much time trying to optimize the model, when I should have been focusing on getting better data in the first place. Lesson learned, right?
Anyways, after a lot of blood, sweat, and tears (mostly tears), I got something that kinda worked. It wasn’t perfect, not by a long shot, but it was enough to show me that there was something interesting going on in that data. And that’s all I really wanted.
So, yeah, that’s the story of my “floyd mayweather and miss jackson” adventure. A messy, frustrating, but ultimately kinda rewarding experience. Would I do it again? Maybe. But next time, I’m starting with better data!
- Clean the data
- Visualize everything
- Feature Engineering
