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 utkuufuk.com
Training a Simple Binary Classifier Using Logistic Regression | Utku's Blog
| | matbesancon.xyz
A Pythonic data science project: Part III |
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| | Learning by doing: predicting the outcome.
| | www.ericekholm.com
Eric Ekholm - MLE Learning Out Loud 2: Logistic Regression
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| | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of)
| | 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...
| | aakinshin.net
Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
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| The idea of this post was born when I was working on a presentation for my recent DotNext talk. It had a slide with a density plot like this: Here we can see a density plot based on a sample with highlighted decile locations that split the plot into 10 equa...