The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Employing unsupervised learning techniques to cluster Italian wines grown by three different cultivars

Exploration of various ML models and techniques for cognitive computing tasks. The primary focus is analysing hidden representations and the effectiveness in classifying data

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Minimal R/Shiny Interface to ECharts.js

Interactive Heat Maps for R Using plotly

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

Conducted a comprehensive clustering analysis to categorize beers based on features such as Astringency, Alcohol content, Bitterness, Sourness, and more. Utilized k-medoids and hierarchical agglomerative clustering algorithms to achieve this classification. Tech: Python (numpy, pandas, seaborn, matplotlib, sklearn, scipy)

A python module to draw a circular dendrogram

analyze the shopping behaviors and demographic profiles of customers visiting a mall using various clustering techniques.

Book Recommendation System - NLP

Drawing 'dendrogram' using 'ggtree'

Content: Unsupervised ML, Agglomerative & Divisive Hierarchical clustering, EDA using Dendrogram, Customer clustering

Hierarchical Clustering algorithms for Pharo

Agglomerative clustering: dendrogram

Plot tanglegrams from two dendrograms

Research if there’s a demand in mental health cases and/ or, if the general healthcare system was coping during the Covid 19 crisis. The outcome would enable us to make high level decisions on Digital Healthcare

Code to accompany paper: "Features underlying speech versus music as categories of auditory experience"

Creating clusters for gobal development measurements

Stardew Valley: Missed Connections is the thesis project of Meghan Andrews for her Masters of Professional Studies in Information and Data Visualization from Maryland Institute College of Art , completed December 2020