The Tech Edvocate

How to create chart in Python

Spread the love“`html When it comes to data analysis and visualization, Python stands out as one of the most versatile programming languages available. Whether you’re a data scientist, a student, or ...
GitHub

Bayesian Optimization & Analysis of Hyperparameters

This repository provides simple examples of how to construct a configuration space using the ConfigSpace package, how to use BOHB with minimal efforts and how to run CAVE to generate a comprehensive ...
GitHub

ESCHR: A hyperparameter-randomized ensemble approach for robust clustering across diverse datasets

This example jupyter notebook on Google Colab provides a walkthrough of ESCHR analysis using an example scRNA-seq dataset. If you launch the notebook in Google Colab ...
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 ...
IEEE

Hyperparameter Tuning for Self-Organizing Maps

Abstract: Self-Organizing Maps (SOMs) are widely used across a wide range of domains, including visualization, feature map generation, pattern recognition, and classification. Despite their simplicity ...
IEEE

DaVE - A Curated Database of Visualization Examples

Abstract: Visualization, from simple line plots to complex high-dimensional visual analysis systems, has established itself throughout numerous domains to explore, analyze, and evaluate data. Applying ...