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feature-reduction

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parameters

easystats /parameters

📊 Computation and processing of models' parameters

bootstrap r ci parameters beta data-reduction feature-extraction pca confidence-intervals r-package pvalues regression-models hacktoberfest statistical-models fa feature-reduction standardize robust-statistics easystats standardized-estimates

UpdatedNov 25, 2025
R

ai4sre /metricsifter

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

python time-series feature-selection fault-localization feature-reduction failure-diagnosis aiops

UpdatedSep 19, 2024
Jupyter Notebook

erikerlandson /feature-reduction-talk

Notebook image and notebook for feature reduction talk

scala apache-spark openshift random-forest jupyter-notebook feature-selection t-digest feature-engineering feature-reduction

UpdatedJun 5, 2017
Jupyter Notebook

Timeless-zfqi /AS-DMF-framework

AS-DMF framework guide

tls lightweight malware python3 feature-selection wireshark zeek feature-reduction zat stacking-classifier encrypted-traffic-analysis

UpdatedAug 1, 2022
Jupyter Notebook

HoangHPham /RSLDA-in-Python

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

feature-selection data-reduction feature-extraction pca lda linear-discriminant-analysis feature-reduction data-reconstruction robust-sparse-linear-discriminant-analysis

UpdatedApr 7, 2023
Jupyter Notebook

Nikhil12321 /ACO_LDA

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

python algorithm ant-colony-optimization aco lda linear-discriminant-analysis feature-reduction

UpdatedJun 8, 2017
Python

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.

python machine-learning chip-seq feature-reduction peak-detection sliding-window google-colab

UpdatedJun 24, 2024
Jupyter Notebook

eahussein /apple_classification

An apple classification binary problem

machine-learning classification apples uncertainty-quantification binary-classification feature-reduction infrared-spectroscopy

UpdatedDec 10, 2022
Jupyter Notebook

sharmapratik88 /Mortgage_Insurance

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

machine-learning insurance exploratory-data-analysis feature-selection market-basket-analysis feature-reduction cross-sell cross-selling cross-sell-prediction

UpdatedMay 13, 2024
Jupyter Notebook

JingweiToo /Dimensionality-Reduction-Demonstration

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

machine-learning data-mining dimensionality-reduction feature-reduction clasificacion feature-projection

UpdatedJan 10, 2021
MATLAB

farkoo /Parkinsons-Diagnosis-ML

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

machine-learning feature-selection feature-engineering audio-signal-processing parkinsons-disease feature-reduction

UpdatedJul 17, 2022
Jupyter Notebook

gowthaman25 /Data-Preprocessing-Preparation-and-Feature-reduction

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

data-analysis python-3 data-preparation feature-reduction preprocessing-data

UpdatedOct 30, 2025
Jupyter Notebook

cbmira01 /FeatureRanking

A data science technique implemented in OpenCL.

python data-science entropy numpy opencl machine-learning-algorithms windows-10 pyopencl feature-reduction

UpdatedApr 14, 2022
Python

KristinaP09 /G-CoMVKM-Python

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

feature-selection collaborative-filtering clustering-algorithm unsupervised-machine-learning feature-reduction multi-view-clustering multi-view-learning

UpdatedJul 21, 2025
Python

eahussein /zebra_imageClassification

A binary image classification problem

machine-learning web-scraping image-classification svm-classifier feature-reduction

UpdatedApr 20, 2022
Jupyter Notebook

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.

r dashboard dplyr javascript-library large-dataset feature-reduction university-statistics

UpdatedMar 22, 2021
R

cserajdeep /Fuzzy-Discernibility-Matrix-v2.0.0

Fuzzy Discernibility Matrix-based a novel feature selection algorithm

data-science machine-learning feature-selection fuzzy feature-engineering feature feature-reduction kiit discernibility-matrix fuzzy-discernibility-matrix cse-rajdeep

UpdatedMar 29, 2025
Jupyter Notebook

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.

feature-selection feature-extraction classification pattern-recognition ant-colony-optimization lda knn feature-reduction knn-classifier lda-algorithm centroids implementation-from-scratch ant-colony-algorithm swarm-optimization-algorithm swarm-algorithm knn-python covid-19-chest-x-ray

UpdatedSep 7, 2025
Jupyter Notebook

emcdona1 /leaf_reflectance_spectroscopy

Exploring taxonomical/morphological uses for Rhododendron images

machine-learning spectroscopy botany museum-collections feature-reduction reflectance-spectroscopy

UpdatedSep 22, 2022
Python

KristinaP09 /G-CoMVKM

Matlab Implementation for A Globally Collaborative Multi-View k-Means Clustering

feature-selection clustering-algorithm clustering-methods feature-reduction multi-view-clustering multi-view-learning

UpdatedJul 21, 2025
MATLAB

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