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 utkuufuk.com
Training a Simple Binary Classifier Using Logistic Regression | Utku's Blog
| | glowingpython.blogspot.com
The Glowing Python: Neural Networks Regularization made easy with sklearn and matplotlib
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| | Using regularization has many benefits, the most common are reduction of overfitting and solving multicollinearity issues. All of this is co...
| | teddykoker.com
Multi-Class Classification with Logistic Regression in Python | Teddy Koker
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| | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need:
| | matbesancon.xyz
A Pythonic data science project: Part III |
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| | Learning by doing: predicting the outcome.
| | teddykoker.com
Histopathologic Cancer Detection with Transfer Learning | Teddy Koker
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| In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.