feature-reduction
There are 19 repositories under feature-reduction topic.
easystats/parameters
:bar_chart: Computation and processing of models' parameters
ai4sre/metricsifter
The AIOps library for automatic reduction of failure-unrelated metrics in Python
erikerlandson/feature-reduction-talk
Notebook image and notebook for feature reduction talk
Timeless-zfqi/AS-DMF-framework
AS-DMF framework guide
HoangHPham/RSLDA-in-Python
A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").
Nikhil12321/ACO_LDA
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
sajadamouei/Peak-detection-chip-seq
Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.
eahussein/apple_classification
An apple classification binary problem
farkoo/Parkinsons-Diagnosis-ML
Presenting a method based on machine learning to predict Parkinson's disease using audio signals
JingweiToo/Dimensionality-Reduction-Demonstration
Application of principal component analysis (PCA) for feature reduction.
sharmapratik88/Mortgage_Insurance
Cross the PPI products to those customers who currently don't have one.
cbmira01/FeatureRanking
A data science technique implemented in OpenCL.
cserajdeep/Fuzzy-Discernibility-Matrix-v2.0.0
Fuzzy Discernibility Matrix-based a novel feature selection algorithm
emcdona1/leaf_reflectance_spectroscopy
Exploring taxonomical/morphological uses for Rhododendron images
vinejain/r-flexdashboard-data-viz
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.
eahussein/zebra_imageClassification
A binary image classification problem
KristinaP09/G-CoMVKM
Matlab Implementation for A Globally Collaborative Multi-View k-Means Clustering
KristinaP09/G-CoMVKM-Python
Python implementation for A Globally Collaborative Multi-View k-Means Clustering
Samahussien7/COVID-19-Chest-X-ray-Classification-KNN
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle.