Principal component analysis for 2D points

Multispectral image pan sharpening with PCA

Using Dognition dataset to calculate similarity in activeness pattern among dogs with different demographic features.

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

Training application for performing Kernel/Principle Components Analysis

Implementation of all standard unsupervised & supervised learning algos from scratch

Pricipal Component Analysis with R

Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

Unsupervised Deep Learning Models Implementation.

Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto

🖼 ✨ VanGo: autocurating your art experience✨ 🎩 Art recommendation engine for The British Museum online collection created using NLP & PCA.

eXome Hidden Markov model (XHMM) - Copy Number Variants (CNVs) from Whole Exome Sequencing Data

An implementation of Linear Discriminant Analysis on multi-class speaker recognition.

FaceFinder is an face recognition security check app coded in Matlab. It can solve the issue of security check just in seconds. It identifies the particular person is allowed or not allowed for a particular thing or task. This can be used as an Visual Attendance system where student identification and recognition is achieved through face recogni…

Dimensionality reduction

Analysis on hospital readmission data for diabetic patients using R and Tableau