R package for OpenCPU backend to detect and visualize disease clusters from the web
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Updated
May 16, 2024 - HTML
R package for OpenCPU backend to detect and visualize disease clusters from the web
A topic designed by Warwick Business School requires students to enhance loan portfolio management by utilising cluster analysis to group borrowers with similar characteristics, enabling personalised loan products, targeted marketing strategies, and a better customer support process to serve the unique needs of each segment through cluster analysis
Analyzing vacant storefronts dataset
R and ArcGIS Assignments from GGRC30 Advanced GIS and GGRC42 Spatial Multivariate Analysis (UTSC)
Neste projeto de Análise de Recursos Humanos, temos como objetivo responder questões-chave sobre gestão de talentos e rotatividade de colaboradores em uma empresa fictícia.
Utilized Jupyter Notebooks to scrape over 8,764 articles from a medical news site and applied clustering, LDA topic modeling, and classification techniques to find similar news topics and predict article sentiment
This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
Multivariate analysis on Social Media addiction conducted in a Rutgers Business School classroom
US University admissions data has been analysed using multivariate techniques
Work team repo for code and coursework associated with ORLA 6541 Applied Data Science in Organizations at Teachers College, Columbia University.
A projected aimed at understanding how resources vary in Northern Cape cities or towns to make decisions that influence policy amendments
Identified distinct clusters and driving forces for climate related discussions on Reddit
Workflow to reduce GO bias (Gene propagation)
To describe age-gender unbiased COVID-19 subphenotypes regarding severity patterns through a two-stage clustering approach using patient phenotypes and demographic features. Additional source and temporal variability assessments are included as part of data quality analyses.
Weekly Assignments on Clustering Methods and Related Tools
Master thesis research project prepared for the MSc in Management at Barcelona School of Management.
University of Utah—MKTG 66420 | Taken: Fall 2020
Data Science Specialization in R with Coursera
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