Predicts Matches for the English Premier League. Can be changed for other leagues.
Modern Information Retrieval Project
🌐 From-Scratch Implementation of the PageRank algorithm to rank websites in a massive network of links on Stanford Dataset.
Explores the MovieLens dataset (1M version) to uncover valuable insights into user behavior, demographics, movie popularity, and community structures. Various tasks, including data preprocessing, clustering, community detection, and recommendation systems, provide a holistic understanding of the dataset.
Using the MovieLens 20 Million review dataset, this project aims to explore different ways to design, evaluate, and explain recommender systems algorithms. Different item-based and user-based recommender systems are showcased as well as a hybrid algorithm using a modified page-rank algorithm.
Graph Fraud Detection Based on Accessibility Score Distributions
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
A simple IR system
A repository for COSC-355 Network Science at Amherst College using Cytoscape and the Python package NetworkX
Python program that generates the page rank of the Stanford web graph from 2002.
Graph Analytics delivered by MEMGRAPH academy
A Java implementation of the classical Information Retrieval models in the TREC-COVID Challenge with the CORD19 Dataset
This project evolves around the concept of networks, centralities, and community detection, and infection simulation.
Demonstration of the page rank algorithm. Implemented in C++ and plotted with Python.
This is news recommendation project based on nlp and graph analysis techniques.
Analysis of Massive Datasets FER labs
Lab Assignments of Course Web Mining (CSE-3024)
Predicts March Madness games. Updated for 2021.
Add a description, image, and links to the page-rank topic page so that developers can more easily learn about it.
To associate your repository with the page-rank topic, visit your repo's landing page and select "manage topics."