This project analyses data from missing females in the USA. I have performed Exploratory Data Analysis(EDA), KMeans, and Spatial clustering.

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

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

A movie recommendation website powered by an unsupervised learning non-negative matrix factorization algorithm. This project provides users with personalized movie recommendations based on their viewing history and preferences.

This GitHub repository showcases a collection of projects and analyses focused on machine learning using R. The repository covers a range of topics, including data cleaning, exploratory data analysis, regression modeling, clustering, and supervised classification. The project is accompanied by detailed explanations and visualizations.

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.

This presentation provides an overview of Machine Learning, including its history, types, algorithms, and applications. It covers topics such as supervised and unsupervised learning,linear regression, classification, clustering, model selection, evaluation, and deployment.

Capstone Project for the Data Scientist Nanodegree by Udacity.

This repository applies financial Python programming and unsupervised learning algorithms to categorize cryptocurrencies based on their performance over different timeframes. The project uses K-Means clustering and Principal Component Analysis (PCA) to group similar cryptocurrencies and identify patterns in their performance.

Python(sklearn): CNN Model to Detect Text Similarity

Project - Creating customer segments | Unsupervised learning | Python | PCA | Gaussian Mixture Model

K-Means Based Clinic Recommendation System

Using champion mastery data from Rot games API to visualize champion connections based on correlation metrics of compositional data in a network. Unsupervised learning was also used to categorize the champions. Lastly, weighted graph distance was used to make a recommender system for new champions based on played chamoions input.

Project on EDA and Unsupervised Machine Learning

Python code for all chapters of ISLR v2 book

A repository for a Statistical Machine Learning Hackathon conducted at Bennett University during 12-13 November, 2022.

Clustering for identification of 'hot-zones' of Uber pick-ups demand in NYC

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow

Applying Unsupervised learning Techniques