Random Forest Methods In Python

Entropy and Mutual Information Estimation

Praktikum Machine Learning 5 - Naive Bayes dengan Variance Thresholding, Mutual Information, dan K-Fold Cross ValidationAssignment

Evaluating Shannon entropy/mutual information as a tool for feature selection in Data Science.

Using Stereo SGM to calculate the disparity map of two images :Stereo Processing by Semiglobal Matching and Mutual Information .

Fast Mutual Information Based Independence Test

🎙 HW4 of Intelligent Information Retrieval MSc Course ECE@UT

Mutual information calculation in C using Kraskov estimator (See https://arxiv.org/abs/cond-mat/0305641)

The code for my project in a biomedical engineering course. It involves decoding motor responses of rats to tilting events using neural spike activity. Key components include organizing spike time data, creating perievent rasters and histograms, and developing a PSTH classifier enhanced with PCA.

This UROP project focuses on tumor disease detection using feature selection techniques like Mutual Information and Chi-Square Test. We implemented various machine learning algorithms, including Decision Trees, Random Forests, Logistic Regression, Naive Bayes, SVM, and KNN, to analyze their performance and improve detection accuracy.

Calculate Entropy in R

A Kaggle project to predict house prices using XGBoost modeling

Implement Mutual Information Neural Estimator with TensorFlow 2

in this section will be numerical feature selection on diabetes dataset

Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy

This project explores the relationships between a perfume's fragrance notes and the subjective experience of their emergent accords using a variety of statistical methods including mutual information, principal component analysis, and multilabel classification.