Add Fashion MNIST demo for logistic regression.

README.md

@@ -39,7 +39,8 @@ _Usage examples: spam-filters, language detection, finding similar documents, ha
 - ⚙️ [Code | Logistic Regression](homemade/logistic_regression/logistic_regression.py) - implementation example
 - ▶️ [Demo | Logistic Regression (Linear Boundary)](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb) - predict Iris flower `class` based on `petal_length` and `petal_width`
 - ▶️ [Demo | Logistic Regression (Non-Linear Boundary)](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb) - predict microchip `validity` based on `param_1` and `param_2`
-- ▶️ [Demo | Multivariate Logistic Regression](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.
+- ▶️ [Demo | Multivariate Logistic Regression | MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.
+- ▶️ [Demo | Multivariate Logistic Regression | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_fashion_demo.ipynb) - recognize clothes types from `28x28` pixel images.
 
 ## Unsupervised Learning
 

homemade/logistic_regression/README.md

@@ -6,7 +6,9 @@
 
 ▶️ [Demo | Logistic Regression With Non-Linear Boundary](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb) - predict microchip `validity` based on `param_1` and `param_2`
 
-▶️ [Demo | Multivariate Logistic Regression](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.
+▶️ [Demo | Multivariate Logistic Regression | MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.
+
+▶️ [Demo | Multivariate Logistic Regression | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_fashion_demo.ipynb) - recognize clothes types from `28x28` pixel images.
 
 ## Definition