Regression tahlil

xmlns:w="urn:schemas-microsoft-com:office:word"
xmlns="http://www.w3.org/TR/REC-html40">
Mustaqil ish mavzu: Chiziqli regressiya algoritmi asosida bashoratlovchi model qurish

O malib, obyekt yoki jarayonga tegishli o'zgaruvchilar o'rtasidagi o'zaro bog'liqlikni baholash uchun statistik jarayonlar to'plami hisoblanadi.

Regression tahlil chiziqli yoki nochiziqli, oqitish sohasi bilan mos keladi.

Regressiya va uning turlari

Regressiya asosida yaratiladigan model ma'lumotlarni berilgan nuqtalardan o'tgan eng yaxshi giper tekislikka (nuqtalar otishiga) moslashtirishga harakat qiladi. Regression tahlilda turli xil modellardan foydalanish mumkin, eng sodda model chiziqli regressiya asosida quriladi.

Regression model qurish (Matlab)

Matlab muhitida chiziqli regression model qurish algoritmi:

Obyekt parametrlari boqitiluvchi tolumotlari tayyorlanadi. Misol uchun

y = [25 32 48 64 79 92]
funksiyasi asosida n=1 ga teng bo polyval(p,x) yicha ym qiymatlari hisoblanadi
Berilgan to bu 3 darajali polinimial funksiya hisoblanadi

• 
  Kozgaruvchili)
  

Gepoteza:
Oldin:
Bu yerda deb qaralishi kerak.
Foydalanilgan adabiyotlar
Aurelian Geron, Hands on Machine Learning with Scikit-Learn Keras&Tensorflow // Second edition Concepts, Tools, and Techniques to Build Intelligent Systems, 2019, 510 pages

https://www.geeksforgeeks.org/ml-types-learning-supervised-learning

https://www.guru99.com/unsupervised-machine-learning.html

https://www.w3schools.com/python/python_ml_linear_regression.asp
https://www.w3schools.com/python/python_ml_multiple_regression.asp
https://www.w3schools.com/python/python_ml_polynomial_regression.asp https://www.mathworks.com/help/stats/regress.html
http://fayllar.org
http://fayllar.org