This space tracks my progress, experiments, and lessons learned, from the basics to more advanced stuff.
- Supervised learning (I tell the model what to do)
- Unsupervised learning (the model pretends to know what it’s doing)
- Regression, classification, clustering (a.k.a. “why is my accuracy so bad?”)
- Model evaluation and tuning (AKA: me staring at confusion matrices wondering where I went wrong)
Just a place where I keep track of what I’m learning, where I mess up, and where I (hopefully) get better over time.
If future me is reading this: I hope you're better at hyperparameter tuning by now. 🙏