Repository containing all the codes created for the lab sessions of CSE3020 Web Mining at VIT University Chennai Campus

Dendogram visualization plugin for Kibana

dendrograms in ggplot2.

Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.

A visualization support tool for advanced hierarchical clustering analysis. MLCut allows cutting dendrograms at multiple heights/levels. In other words, it allows to set multiple local similarity thresholds in potentially large dendrograms. It uses two coordinated views, one for the dentrogram (radial layout), and another for the original multid…

A Google Chrome extension that builds a hierarchical knowledge graph of your visited webpages

Supervised K-NN classification and unsupervised K-Means clustering machine learning algorithms built from scratch in Python using NumPy and Matplotlib.

A collection of Machine Learning and Data Mining labs for the ML course taught at INSAT.

Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)

Hierarchical and K Means clustering of data scraped from blogs and drawing the dendrogram.

Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

It is based on the book "The Levelling" by Micheal O'Sullivan

You will learn to use hierarchical clustering to build stronger groupings which make more logical sense. This course teaches you how to build a hierarchy, apply linkage criteria, and implement hierarchical clustering

This project applies Hierarchical Clustering to segment customers based on their Annual Income and Spending Score. It uses dendrograms to determine the number of clusters and applies Agglomerative Clustering for grouping.

An investment advisory firm needs to segment stock offerings so they may offer their customers understandable investment options.

Machine Learning Clustering

Assignment for clustering

Used machine learning techiques to cluster and visualize cryptocurrency data.

This project is about creating a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for a new investment.