📊 Computation and processing of models' parameters
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Updated
May 26, 2024 - R
📊 Computation and processing of models' parameters
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.
Cross the PPI products to those customers who currently don't have one.
Feature reduction of multivariate time series data for fault localization in Python
Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.
A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").
An apple classification binary problem
Exploring taxonomical/morphological uses for Rhododendron images
AS-DMF framework guide
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.
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.
Application of principal component analysis (PCA) for feature reduction.
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
Notebook image and notebook for feature reduction talk
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