MA’LUMOTLARNI DASTLABKI ISHLOV BERISH JARAYONLARI
Ключевые слова:
Kalit so‘zlar: Ma’lumotlarni dastlabki ishlov berish, ma’lumotlarni tozalash, normalizatsiya, xususiyat muhandisligi, Scikit-learn, Pandas, mashinaviy o‘qitish, ma’lumotlar tahlili.Аннотация
Annotatsiya: Mazkur maqolada ma’lumotlarni dastlabki ishlov berish
(preprocessing) bosqichlari va ularning ma’lumotlar tahlili hamda mashinaviy
o‘qitishdagi ahamiyati yoritilgan. Tadqiqot davomida tozalash, transformatsiya qilish,
xususiyat muhandisligi, xususiyat tanlash va ma’lumotlarni ajratish kabi asosiy
jarayonlar chuqur o‘rganildi. Har bir bosqich Python dasturlash tilidagi Pandas,
NumPy va Scikit-learn kutubxonalari yordamida amaliy jihatdan tasvirlandi. Maqolada
nazariy yondashuvlar real dunyo misollari bilan boyitilib, ma’lumotlar sifatini oshirish
va modellashtirish uchun qulay muhit yaratish usullari tahlil qilindi. Tadqiqot natijalari
ma’lumotlar bilan ishlaydigan mutaxassislar uchun foydali uslubiy ko‘rsatmalarni
taqdim etadi.
Библиографические ссылки
Foydalanilgan adabiyotlar
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