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Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights
This blog is a deep dive into regularisation techniques, intended to give you simple intuitions, mathematical foundations, and implementation details. ...
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Exploring the Proportional Odds Model for Ordinal Logistic Regression

Exploring the Proportional Odds Model for Ordinal Logistic Regression
You can find the full code for this example at the bottom of this post. odds model for ordinal logistic ...
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Multiple Linear Regression Analysis | Towards Data Science

Multiple Linear Regression Analysis | Towards Data Science
full code for this example at the bottom of this post. Multiple regression is used when your response variable Y ...
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One Turn After Another | Towards Data Science

One Turn After Another | Towards Data Science
While some games, like rock-paper-scissors, only work if all payers decide on their actions simultaneously, other games, like chess or ...
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There’s a New Way to Count Prime Numbers

There’s a New Way to Count Prime Numbers
But that wasn’t obvious. They’d have to analyze a special set of functions, called Type I and Type II sums, ...
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‘Groups’ Underpin Modern Math. Here’s How They Work

‘Groups’ Underpin Modern Math. Here’s How They Work
Determining what subgroups a gaggle incorporates is one solution to perceive its construction. For instance, the subgroups of Z6 are ...
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