Machine Learning: hammaga tushunarli

Intermediate Free

KNN, Naive Bayes, regressiya, SVM, neyron tarmoqlar va klasterlash — Python va TensorFlow bilan.

Hali baholanmagan (0 student)

26 lessons 7 h Updated: 27.08.2026

Instructor Islomjon Ikromov

About the Course

26 video lesson
7 hours of content
Intermediate level
Permanent access
Mobile and desktop
Final certificate

Bu kurs mashinali o'qitishni matematikaga ko'milmasdan, amaliy tushuntiradi. Klassifikatsiya va regressiya farqidan boshlanadi, ma'lumotni tayyorlash o'rgatiladi, so'ng har bir algoritm avval tushuntirilib, keyin Google Colab'da kod bilan amalga oshiriladi: K-Nearest Neighbors, Naive Bayes, logistik regressiya, SVM, neyron tarmoqlar, chiziqli regressiya, K-Means klasterlash va PCA.

Manba: ushbu kurs Machine Learning for Everybody – Full Course video darsligi asosida tuzilgan (muallif: freeCodeCamp.org and Kylie Ying). Har bir dars videoning aynan kerakli daqiqasidan boshlanadi.

Course contents

26 lessons · 7 h

Kirish 7 lessons

Kirish View 1 min
Ma'lumotlar va Colab bilan tanishuv 8 min
Mashinali o'qitish nima? 4 min
Belgilar (features) 5 min
Klassifikatsiya va regressiya 3 min
Modelni o'qitish 11 min
Ma'lumotni tayyorlash 14 min

Klassifikatsiya algoritmlari 8 lessons

K-Nearest Neighbors 8 min
KNN'ni kodda yozish 16 min
Naive Bayes 9 min
Naive Bayes'ni kodda yozish 2 min
Logistik regressiya 9 min
Logistik regressiyani kodda yozish 1 min
Support Vector Machine 9 min
SVM'ni kodda yozish 2 min

Neyron tarmoqlar 3 lessons

Neyron tarmoqlar 8 min
TensorFlow 2 min
TensorFlow bilan klassifikatsiya 20 min

Regressiya va klasterlash 7 lessons

Chiziqli regressiya 25 min
Chiziqli regressiyani kodda yozish 23 min
Bitta neyron bilan regressiya 3 min
TensorFlow bilan regressiya 13 min
K-Means klasterlash 11 min
Principal Component Analysis (PCA) 10 min
K-Means va PCA amaliyoti 20 min

Yakuniy loyiha 1 lessons

Mustaqil loyiha: o'z datasetingiz ustida model 180 min

Instructor

Islomjon Ikromov

mcxacker7@gmail.com 998913595069