Notebook image and notebook for feature reduction talk
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
Application of principal component analysis (PCA) for feature reduction.
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.
A data science technique implemented in OpenCL.
A binary image classification problem
Presenting a method based on machine learning to predict Parkinson's disease using audio signals
AS-DMF framework guide
Exploring taxonomical/morphological uses for Rhododendron images
An apple classification binary problem
A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").
The AIOps library for removing automatically failure-unrelated metric in Python
Cross the PPI products to those customers who currently don't have one.
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.
Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.
📊 Computation and processing of models' parameters
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