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Amaliy ish #1-5 Tayyorladi: 961-19 guruh talabasi Arislanov Sarvar Fan: Ma’lumotlarning intellektual taxlili
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| Sana | 09.12.2023 | | Hajmi | 7,48 Mb. | | #114142 |
Bog'liq Amaliy ish 1 SARVAR
Muhammad Al-Хorazmiy nomidagi Toshkent Axborot Texnologiyalari universiteti Urganch filiali
Amaliy ish #1-5
Tayyorladi: 961-19 guruh talabasi
Arislanov Sarvar
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/1JGbazH9XcZdiSM6qUIrZfle_PlKyfLFA#scrollTo=tjpklgP37AHw
https://colab.research.google.com/drive/1JGbazH9XcZdiSM6qUIrZfle_PlKyfLFA?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/1uN4nYXKlVlndIT3rn1iAwlcOf1jOQP16#scrollTo=zwVAJy4VjUrh
https://colab.research.google.com/drive/1uN4nYXKlVlndIT3rn1iAwlcOf1jOQP16?usp=sharing
Amaliy ish #3
3-Amaliy ish
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/1xeoXSmjjkAZjy0gWsT73MM0IX-JVR-41#scrollTo=IHGdcTKzADDN
https://colab.research.google.com/drive/1xeoXSmjjkAZjy0gWsT73MM0IX-JVR-41?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/1r46icDWcB880vNCL8ynyjjkH6l5aqITl#scrollTo=9eBvjhJ1thXJ
https://colab.research.google.com/drive/1r46icDWcB880vNCL8ynyjjkH6l5aqITl?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/1VzjB9nV-YJYq9XZR5JMbNZPQ2aKv-upP#scrollTo=BiVOojK7wkpF
https://colab.research.google.com/drive/1VzjB9nV-YJYq9XZR5JMbNZPQ2aKv-upP?usp=sharing
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