Hackaday

Making Math Less Stressful With A Python Super-Calculator

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...
GitHub

Calendar-based plots in Seaborn

I've been struggling to find actively maintained calendar-based statistical plot libraries in python. I use Seaborn almost always, so I was wondering if it would be possible to integrate a few ...
GitHub

pandas-numpy-matplotlib-seaborn-plotlyjs

Full-stack Machine Learning Startup Success Predictor with 50K+ company dataset, bias-free methodology, XGBoost ensemble, Logistic Regression, SVM w/ RBF kernel, and SHAP interpretability. Built w/ ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
IEEE

Logistic Regression-Based Example Selection for Enhanced Few-Shot Learning in Intent Classification

Abstract: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Foreign Policy

Canada Needs Help to Challenge a Rogue India

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