feature-reduction

📊 Computation and processing of models' parameters

The AIOps library for automatic reduction of failure-unrelated metrics in Python

AS-DMF framework guide

Notebook image and notebook for feature reduction talk

A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").

Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.

Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.

Cross the PPI products to those customers who currently don't have one.

An apple classification binary problem

Application of principal component analysis (PCA) for feature reduction.

Presenting a method based on machine learning to predict Parkinson's disease using audio signals

A binary image classification problem

A data science technique implemented in OpenCL.

Machine Learning project for breast cancer diagnosis using PCA, Support Vector Machines (SVM), and K-Nearest Neighbors (K-NN). Includes data exploration, feature reduction, model evaluation, and performance comparison.

Python implementation for A Globally Collaborative Multi-View k-Means Clustering

This work is about creating AI Solution to learn data preprocessing, preparation and Feature reduction using UCI Communities & Crime dataset.

Machine learning project demonstrating PCA-based feature reduction for IoT sensor data using PAMAP2-like activity monitoring data and multiple classifiers.

Interactive dashboard in R using JavaScript based libraries (flexdashboard, highcharter, etc.) showing US university statistics. Data sourced from catalog.data.gov for year 1996 to 2017. Size 2.5 GB/1900+ columns.

Fuzzy Discernibility Matrix-based a novel feature selection algorithm

Exploring taxonomical/morphological uses for Rhododendron images