Data Mining Course Assignments - Fall 2019

Incorporated unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

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

Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

Analyzing Cryptocurrency data utilizing unsupervised ML

NETFLIX MOVIES AND TV SHOWS CLUSTERING is a project that aims to cluster the available movies and TV shows on Netflix based on their attributes such as genre, release year, and country of production.

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

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)

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

Using Unsupervised Machine Learning to examine the outcome of Cryptocurrencies data and how to analyze it.

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

In Agglomerative we start with all points as individual clusters and then keep on combining clusters until required number of clusters are not formed using linkages like single, complete, average, ward or centroid.

Unsupervised-ML---Hierarchical-Clustering-University Data. Import libraries, Import dataset, Create Normalized data frame (considering only the numerical part of data), Create dendrograms, Create Clusters, Plot Clusters.

Clustering data items with Agglomerate Hierarchical Clustering. Utilising Dendrograms.

Draw dendrogram of similarity between text files.

Machine Learning / Multivariate Statistik in Python

Clustering countries from an NGO Data to get Top 10 countries who are in dire need of Aid based on their Socio Economic Condition

performed EDA + clustering analysis