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Amaliy ish #1-5 Tayyorladi: 963-19 guruh talabasi Hasanboyev Jahongir Ma`lumotlarning intellektual tahlili
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| Sana | 09.12.2023 | | Hajmi | 1,27 Mb. | | #114501 |
Bog'liq Amaliy ish 1-5 MTA Majmua(2021), 1, 4-Karno kartadan foydalanib mantiqiy ifodalarni minimallash, Kalendar reja algoritm, Ishchi dastur(Dasturlash I) 24.11.2021, 1 -amaliyot, 4-Lab, Yurtimiz mustaqillikga erishishidan oldin milliy urf odat, 7-8-mavzuDT larni sertifikatlashtirish, Axborotlarni izlash va ajratib olish fanidan mustaqil ish Mavzu, Abdulla Oripov O\'zbekiston (qasida), 2 lab Yarashov Diyorbek, TATU NF Hemis axborot tizimi, Algo 1-299, prezentatsiya
Muhammad Al-Хorazmiy nomidagi Toshkent Axborot Texnologiyalari universiteti Urganch filiali
Amaliy ish #1-5
Tayyorladi: 963-19 guruh talabasi
Hasanboyev Jahongir
Ma`lumotlarning intellektual tahlili.
Qabul qildi: Yusupova Shohida Botirboyevna/ Hayitboyeva Dilafro’z Qo’shnazarovna
1-Amaliy ish
Mavzu. Matlab/Python muhitini o‘rnatish va sozlash. Matlab/Python muhitida vektor va matritsa ko‘rinishidagi ma’lumotlar bilan ishlash
Total 114
Correct 1
Wrong 0
https://colab.research.google.com/drive/1bmmy0ThxyXghpWj9ensyGhpGCcwj4nJW?usp=sharing
2-Amaliy ish
Mavzu: Python ma`lumotlarni vizuallashtirish yaratish. Ma`lumotlarni yuklab
olish. Ma`lumotlarni import va eksport qilish usullari (pandas, importdate).
https://colab.research.google.com/drive/1lqg6wEiky_IXgGXrXMA7FoG5BF240NWn#scrollTo=d930mrpNjBZQ
3-Amaliy ish
Mavzu. Berilgan tanlanmani tahlil qilish. Ma`lumotlarni tozlash va filtrlash.
Matlab\Python bir o`zgaruvchili chiziqli regression model yaratish (linear regression)
https://colab.research.google.com/drive/1ZLYSBU3zyXaUGWRnXNQCytm3iEEKVkbN#scrollTo=EpfvZgb2qBdL
4-Amaliy ish
Mavzu. Matlab/Python ko‘p o‘zgaruvchili chiqizli regression model yaratish (multiple regression)
https://colab.research.google.com/drive/18g4Zud_pH33TLqOU051x2R4I3wH7GozA#scrollTo=c_JuxCv7oJz6
5-Amaliy ish
Mavzu. Python muhitida ma’lumotlarni SVM usulida sinflashtirish. Python muhitida ma’lumotlarni klasterlash. K-means klasterlash
https://colab.research.google.com/drive/1tzIv3k2ax0EuEZYsKkiTfvGDPH-K7nCU#scrollTo=bRcGW3w2roiO
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