Наука и инновации 4-jild vation-son (2026) · 55–59-betlar

FEATURE ENGINEERING: HOW TO SELECT AND CREATE IMPORTANT FEATURES

Olimjonova, Havasxon, Sobirjonov, Behzod

DOI: 10.5281/zenodo.20354979 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

The article highlights the role and significance of the Feature Engineering process in enhancing the efficiency of machine learning models. It provides a detailed analysis of feature selection methods, including statistical (filtering), iterative (wrapper), and embedded techniques. Additionally, strategies for creating new features, data transformation, the importance of domain knowledge, and key libraries in the Python ecosystem (Pandas, Scikit-learn) are discussed. The conclusion emphasizes the prospects of automation in the field and the crucial role of expert intuition.

Feature Engineeringxususiyatlarni tanlashxususiyatlarni yaratishoverfittingma’lumotlar transformatsiyasikorrelyatsiyaLassomashina o‘rganishPandasScikit-learn.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.