Machine Learning — My Ongoing Struggle with Algorithms

This space tracks my progress, experiments, and lessons learned, from the basics to more advanced stuff.

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⚙️ What’s inside:

• 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)

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🎯 Why this repo exists:

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. 🙏

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