4.1 Linear Algebra Matrix and Vectors ustida amallar | Machine Learning darslari

4.3 Linear Regression ko'p xususiyatli ma'lumotlar toplami uchun. | ML darslari (O'zbek tilida)

Numpy darslari (Python) 2-dars. | Datatype, Copy vs View, Reshape, Iterating |

Numpy darslari (Python) 1-dars. | Installation, arrays, Indexing|

4.2 Linear Algebra Matrix and Vectors ustida amallar | Machine Learning darslari

4.1 Linear Algebra Matrix and Vectors ustida amallar | Machine Learning darslari

3.4 Linear Regression with one feature| Xulosa | ML darslari (O'zbek tilida)

3.3 Linear Regression with one feature| Coding #3 | ML darslari (O'zbek tilida)

3.2 Linear Regression with one feature| Coding #2 | ML darslari (O'zbek tilida)

3.1 Linear Regression with one feature| Coding #1 | ML darslari (O'zbek tilida)

2.6 Linear Regression with one | Gradient descent for LR | ML darslari (O'zbek tilida)

2.5 Linear Regression with one | Gradient descent#2 | ML darslari (O'zbek tilida)

2.4 Linear Regression with one | Gradient descent#1 | ML darslari (O'zbek tilida)