Unsupervised Learning and Data Visualization project on Pokemon stats data
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Updated
Dec 24, 2017 - Jupyter Notebook
Unsupervised Learning and Data Visualization project on Pokemon stats data
A few R programs to simulate many fundamental data mining algorithms
clustering
This repository includes the data analysis of the dataset 'Early Childhood Caries'. This analysis includes several preprocessing steps, association rule mining, 5 different classification and 3 different clustering models.
An Entropic Approach to Hierarchical Cluster Analysis
Clustering on Cereals Data
Data Visualizations from my Master's thesis.
I am placing my homework for Intro to Machine Learning courses where I have implemented various learning algorithms.
A python library for evaluating Hierarchical Clustering
This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.
Hiearchial clustering manual with example
A project leveraging classification and clustering algorithms to determine the sentiment of tweets, distinguishing between hatred and non-hatred content
Credit Card User Segmentation With Clustering Techniques: Project for Math 156 (Machine Learning) at UCLA, Fall 2023
Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data
This repository contains the code and analysis for a research project aimed at enhancing social media impact for food safety security organizations. The project focuses on understanding text tone preferences based on user demographics using machine learning techniques.
Clustering the customers using an unsupervised machine learning approach.
Segment customers into different groups based on their shopping trends using Hierarchical Clustering.
Conduct hierarchical clustering on the classic Iris dataset
A quick comparison of two (K-Means and hierarchical/agglomerative) clustering methods for text-based animal species classification.
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