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

Mutual information least-dependent component analysis

Integration of clustering methods.

Neural Network Pruning Using Dependency Measures

Mobile price classification using SVM with hyperparameter tuning and feature selection technique. Accuracy is 95%.

Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.

Official implementation of the neural decoder based on mutual information maximization

Detección de obsolescencia en modelos de series temporales mediante técnicas de estimación de información mutua y su aplicación en el diagnóstico de convulsiones neonatales a través de EEG

🎙 HW4 of Intelligent Information Retrieval MSc Course ECE@UT

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.

Calculate Entropy in R

MINE: Mutual Information Neural Estimation in pytorch

Feature Selection in ML using Python

A Kaggle project to predict house prices using XGBoost modeling