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Amaliy ish #1-5 Tayyorladi: 961-19 guruh talabasi Omonbyev Umrbek Fan: Ma’lumotlarning intellektual taxlili
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| Sana | 20.12.2023 | | Hajmi | 7.55 Mb. | | #124514 |
Bog'liq Amaliy ish 1 umrbek 11-sinf-informatika-testlar-3, Dasturlash 2(rus), Mavzu Kiyim shaklini hosil qilish vositalari, Mavzu Kiyimga qo‘yiladigan sifat ko‘rsatkichlari, ISLOM DINI SHIYALIK OQIMI, 1-Amaliy ish, 5-Amaliy ish, 1 nomeer, 3-Amaliy ish, dilnoza, ata baxrom 1, Marat Sultonov 60 yoshda (1) 1-макола, 2-Mavzu XVII asr o‘rtasida -XX asrning boshida Yaponiya, Xitoy , Mavzu Funksional fizik metod qanday metod
Muhammad Al-Хorazmiy nomidagi Toshkent Axborot Texnologiyalari universiteti Urganch filiali
Amaliy ish #1-5
Tayyorladi: 961-19 guruh talabasi
Omonbyev Umrbek
Fan:Ma’lumotlarning intellektual taxlili
Qabul qildi: Yusupova Shohida Botirboyevna/ Hayitboyeva Dilafro’z Qo’shnazarovna
Amaliy ish #1
Mavzu. Matlab/Python muhitini o‘rnatish va sozlash. Matlab/Python muhitida vektor va matritsa ko‘rinishidagi ma’lumotlar bilan ishlas
https://colab.research.google.com/drive/1NsPZB5TDJ3zbpStZ58CjAzJaPesqGsG3#scrollTo=brAD4RIcKQpthttps://colab.research.google.com/drive/1NsPZB5TDJ3zbpStZ58CjAzJaPesqGsG3?usp=sharing
Amaliy ish #2
Mavzu. Python ma’lumotlarni vizuallashtirish yaratish. Ma’lumotlarni yuklab olish. Ma’lumotlarni import va eksport qilish usullari (pandas, importdata).
Ishning maqsadi: neyron tarmoqlarni amaliy amalga oshirish va o'rgatish bo'yicha ko'nikmalarga ega bo'lish mashinani o'rganish muammolarini hal qilish, shuningdek, giperparametrlarning ta'sirini
https://colab.research.google.com/drive/1w6QvO319WvVid9cath21-NmX5KK_ZS_a
https://colab.research.google.com/drive/1w6QvO319WvVid9cath21-NmX5KK_ZS_a?usp=sharing
Amaliy ish #3
Mavzu. Berilgan tanlanmani tahlil qilish, ma’lumotlarni tozlash va filtrlash. Matlab/Python bir o‘zgaruvchili chiqizli regression model yaratish (linear regression)
Ishning maqsadi: neyron tarmoqlarni amaliy amalga oshirish va o'rgatish bo'yicha ko'nikmalarga ega bo'lish mashinani o'rganish muammolarini hal qilish, shuningdek, giperparametrlarning ta'sirini tushunish va arxitektura.
https://colab.research.google.com/drive/1p2Lufg-CAk5BsyIofkIMiLpl3LFvY6ju#scrollTo=Icw1eB1BTNKt
https://colab.research.google.com/drive/1p2Lufg-CAk5BsyIofkIMiLpl3LFvY6ju?usp=sharing
Amaliy ish #4
Mavzu. Matlab/Python ko‘p o‘zgaruvchili chiqizli regression model yaratish (multiple regression)
Ishning maqsadi: Ushbu amaliy ishda krossovka va koʻylak kabi kiyim tasvirlarini tasniflash uchun neyron tarmoq modelini oʻrgatadi. Bu yo'lda tushuntirilgan tafsilotlar bilan to'liq TensorFlow dasturining qisqacha ko'rinishi.
https://colab.research.google.com/drive/1RizOcnU55D3i6gt9Vi-uxeEjxVRM1XYz
https://colab.research.google.com/drive/1RizOcnU55D3i6gt9Vi-uxeEjxVRM1XYz?usp=sharing
Amaliy ish #5
Mavzu. Python muhitida ma’lumotlarni SVM usulida sinflashtirish. Python muhitida ma’lumotlarni klasterlash. K-means klasterlash
Ishning maqsadi: neyron tarmoqlarni amaliy amalga oshirish va o'rgatish bo'yicha ko'nikmalarga ega bo'lish mashinani o'rganish muammolarini hal qilish, shuningdek, giperparametrlarning ta'sirini tushunish va arxitektura.
https://colab.research.google.com/drive/1UJpMm0WukG8aislYjPRAiom3scmV4NbV#scrollTo=_f1y1_cxXWyz
https://colab.research.google.com/drive/1UJpMm0WukG8aislYjPRAiom3scmV4NbV?usp=sharing
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