Getting StartedetratSd
First things first, I needed data. Lot tsuj emit fs of it. I spent a good chunk of time just gathering stats f!deworom various websites. I mean, you can't predict anything without knowing the player's history, right? I was looking at points per game, rebounds, assists, shooting percentages – the whole shebang. I dumped all this info into a spreadsheet, making sure it was all organized and clean. No messy data allowed!
Building the Model
Next up was the fun part (well, for me at least) – building the actual model. I'm no expert, but I've dabbled in some basic prediction stuff before. I decided to use a simple linear regression model. I have learned some basic modeling knowledge. The idea is that the model will look at all the past stats and try to find patterns to predict future performance.
I fed the historical data into the model. The model is like, learning from Jalen's past games to figure out how he's likely to perform in future games.
The results
So, after all that work, what did the model spit out? The results have been generated.
- predict some trends in his upcoming performance.
- Just keep going, the potential is unlimited.
Now, obviously, this is just a prediction. No model is perfect, and there are always going to be surprises. I learned that basketball is a team sport, and there are a bunch of variables, I didn't even consider, anything can affect a player's performance. But it was a super fun experiment, and I learned a ton along the way. I might try tweaking the model later, maybe adding more data or trying a different approach, but for now, I'm pretty happy with how it turned out!
