Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.
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Updated
Nov 3, 2022 - Jupyter Notebook
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
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.
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.
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.
An analysis project on the data from my boardgame collection
Clustering - Cohort Analysis - Retention Analysis
scRNA-Explorer pipeline allows users to interrogate in an interactive manner scRNA-sequencing data sets to explore via gene expression correlations possible function(s) of a gene of interest
This is a Clustering analysis on mall customers
Simplifying Seurat data processing, clustering, and analysis
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