Laboratoriya ishi 7-laboratoriya ishi mavzu: Modellashtirish muhandisligi Bajardi

Laboratoriya ishini bajarish tartibi:
Topshiriqni bajarish bo‘yicha ko‘rsatma:
1-qadam. Mavzuga oid ma’lumotlarni toppish uchun internetdagi ixtiyoriy qidiruv tizimiga mavzuning nomi yoziladi va qidirish tugmasi bosiladi

2-qadam. Topilgan ma’lumotlar asosidagi algoritmlar o‘rganilib chiqiladi.

3-qadam. Mavzuga oid ma’lumotlar yig‘ilib, mavzu asosida ishlab chiqilgan yangi algoritmlar bo‘yicha taqdimot yaratiladi.

Hisobot shakli:
1. Laboratoriya ishining nomi.
2. Laboratoriya ishidagi topshiriq.
3. Topshiriqni bajarilishi
4. Topshiriq taqdimotini tayyorlash.
Nazorat savollari
1. Modellashtirish muhandisligi asosiy tushunchalari.
2. Asosiy model (Baseline model)
3. Kategorik kodlashlar (Categorical encodings)
4. Xususiyatlarni yaratish (Feature generation)
5. Xususiyatlarni tanlash (Feature selection)


Foydalanilgan adabiyotlar roʻyxati.
1. Section 0.1. Reading Mathematics, Vector Calculus, Linear Algebra, and Differential forms, 2009.
2. Aston Zhang, Zachary C. Lipton, MuLi, and Alexander J. Smola. Dive into DeepLearning Release 0.17.5. Mar 25, 2022. https://d2l.ai/d2l-en.pdf
3. François Chollet. Deep Learning with Python, Second Edition. October 2021 ISBN 9781617296864 504 pages. https://www.manning.com/books/deep-learning-with-pythonsecond-edition
4. Borovcnik, M. (2012). Multiple perspectives on the concept of conditional probability. Avances de Investigación en Educación Matemática, 2, 5–27. http://www.aiem.es/index.php/aiem/article/view/32.
5. Матвеев М.Г. Модели и методы искусственного интеллекта. Применение в экономике: учеб. пособие / М.Г. Матвеев, А.С. Свиридов, Н.А. Алейникова. — М.: Финансы и статистика; ИНФ РА-М, 2011. - 448 с.
6. Beazley, D.M. (2009). Python essential reference. Addison-Wesley Professional. Available at www.python.org (ac-cessed 18.03.2019).