📊 Computation and processing of models' parameters

The AIOps library for removing automatically failure-unrelated metric in Python

Notebook image and notebook for feature reduction talk

AS-DMF framework guide

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

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

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

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

A data science technique implemented in OpenCL.

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.

Exploring taxonomical/morphological uses for Rhododendron images

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.

A binary image classification problem