The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

When it comes to data science, you have excellent tools at your disposal: pandas and polars for data exploration, skrub for stateful transformations, and scikit-learn for model training and evaluation ...

Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...