Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.

This is the 6th and final (capstone) project of Udacity's Predictive Analytics Nanodegree

A repository of all my projects in R.

Text Clustering for Natural Languages

How to use clustering to understand a city and make suggestions on where to go for food / coffee / amusement etc.

In this project, short document clustering algorithms for English language.

A personal project to explore Quarto functionality in R. I love💖

Segmentation of the Statistics Canada’s Set of Proximity Measures – A Clustering Algorithm Approach. UBC MDS capstone project for Statistics Canada.

Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets

This is my 6th semester Essentials of Data Analytics project.

Identify Archetypes among Genshin Impact Players

Code for running various online constrained clustering methods with different parameter combinations.

An optimised implementation of the tau statistic (relative prevalence ratio form), originally from R's IDSpatialStats package.

An exploration of cervical cancer risk data using Principle Component Analysis (PCA) and clustering algorithms

Machine Learning Projects

Document Clustering. Used K-Means algorithm to classify documents in categories and KNN algorithm to classify unknown documents.

E-commerce Data Pipeline

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

I performed K-Means clustering on the Iris dataset to form the species of flowers into various clusters.

Identifying the boundaries of main content of fiction and non-fiction works in the HathiTrust Extracted Features dataset.