MASHINALI OʻQITISH MODELLARI UCHUN BELGILAR FAZOSINI SHAKLLANTIRISH YONDASHUVI
Kalit so'zlar
https://doi.org/10.47390/ts-v3i9y2025No2Kalit so'zlar
One-Hot Encoding, Label Encoding, Binning, Empirik qoida, MinMax normallashtirish, z-normallashtirish, StandardScaler, Normallashtirish, Masshtablash.Annotasiya
Mazkur ishda ma’lumotlarga ishlov berish masalasini echishda belgilar fazosini shakllantirish yondashuvlari qarab oʻtilgan boʻlib, dasturlash muhitida uning amalga oshirilish mexanizmi tadqiq etiladi. Dasturiy muhitda ma’lumotlar hususiyatlari bilan ishlagan holda ichki bogʻliqliklarni hosil qilish, ma’lumot kategoriyalariga ajratish, va kategorik oʻzgaruvchilar bilan ishlash yondashuvlari, raqamli ma’lumotlarni guruhlashtirish, masshtablash va normallashtirish usullari bayon etilgan.
Manbalar
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