Machine Learning Fundamentals

📌 Planned placeholder page: this page is reserved for "Math foundations and classic algorithms", and the content will be filled in progressively along with learning.

Planned Content

• [ ] Linear algebra and probability & statistics crash course
• [ ] Linear regression / Logistic regression / SVM
• [ ] Decision trees and ensemble learning (GBDT / XGBoost)
• [ ] Evaluation metrics: accuracy, AUC, F1

Next Steps

• [ ] Complete this page item by item against the planning checklist in the Domain Overview
• [ ] Add runnable examples and pitfall records for each entry
• [ ] Change the status from "Planned" to "Collected" when done

For writing guidelines, please refer to the Domain Overview.