featureextraction

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

A tutorial on stereoscopic depth maps, focusing on triangulation and rectification

Common Spatial Pattern (CSP) on Motor Imagery EEG signals

Computer Vision small MATLAB exercises, ETH Zurich

With advanced algorithms and machine learning, our image retriveval system revolutionizes image searches, delivering precise results effortlessly. Say goodbye to endless scrolling and hello to a new era of image discovery.

this is tracking system designed for tracking the objects that are same visually ,this repo contains code that track the trajectories of individual objects ,count the objects at each frame and much more

GUI-based ransomware attack detection using processor and disk I/O telemetry with CNN2D classification, SHAP explainability, adversarial robustness testing, and 10-fold stratified cross-validation.

MultiScale_FeatureFusion CNN model with keras_2020

BioCONCEPTUM — Structured Extraction from Radiology Reports with LLMs (M.Sc. thesis)

This is about Treue Technologies Data science Internship tasks.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Autoencoders for Dimensionality Reduction leverage deep learning to compress high-dimensional data, preserve key features, and enhance efficiency for data analysis and machine learning tasks.

This repository presents a comprehensive solution for classifying fluid flow images into two categories: Low-Speed and High-Speed. The project leverages advanced image processing techniques and machine learning algorithms to achieve accurate classification.

Student_Performance

Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative

A financial institution wants to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI on the due date.