squared-loss mutual information based feature selection

An R package for selecting variables in regression models

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (TKDE 2016)

My capstone project report from 2015.

An implementation of the Panning Algorithm

Quadratic programming feature selection

It can detect the human activity only from smartphone sensor data.

Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision and recall, and stochastic gradient descent for optimization in Python.

Depression Detection from Speech

Repositorio que contiene los scripts y explicaciones en R para elaborar un estudio del data set Titanic por medio de un proceso de preprocesado de datos, regresión logística para la selección de variables y árboles de decisión. Prácticas de la asignatura Tratamiento Inteligente de Datos.

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Feature Selection by Optimized LASSO algorithm

One of the most exciting areas in all of data science right now is wearable computing - see for example this article . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Ga…

Demo of using feature selection with metaheuristic algorithms

Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

Network-based Cancer Drug Feature Selection and Modeling

Notebook image and notebook for feature reduction talk