Theodore Mandilaras's repositories
DIT-BigDataAnalytics
An assignment for the Big Data Analytics course in order to familiarize in the following Big Data applications: Text Classifications (and WordClouds), DeDuplication (with LSH and Machine Learning techniques using feature engineering) and last Sentiment Analysis. For more information read the assignment and my report.
DIT-Graphics-Edge-Collapse
Mesh Simplification: Edge Collapse implementation and some bacis Visualization using WebGL
DIT-Scalable-App
INFINITE-SCALE: Deploying and scaling a Laravel Application on Kubernetes
GarbageSeekers-Game
A Multiplayer FPS game implemented with Unity and Photon engines, for the purposes of the Interactive Systems course, 2020-2021.
Compilers-final-project-
A complete compiler
DIT-eCom-HOMEPASS-Backend
The backend application of the HOMEPASS which provides the required services to Create/Read/Update/Delete resources from the application's database following the REST architecture. It was implemented with the Spring Boot framework using an H2 database. This application implemented for the purposes of the course of e-commerce Technologies 2019-2020. For more information read the homepass_report.pdf
DIT-eCom-HOMEPASS-Frontend
The Android Application for the HOMEPASS. HOMEPASS is an AirBNB-like application that was implemented for the purposes of the course of e-commerce Technologies 2019-2020. For more information read the homepass_report.pdf
deploy_collectd
Collectd installation ansible playbook
DIT-BigData-Project1
In this project I am working with Apache Spark on a dataset around true and fake job postings. Also, the project contains Machine Learning with Python for predicting fake or real jobs
DIT-BigData-Project2
Implementation of KMeans and Collaborative Filtering algorithms as Disk Based, using the MovieLens dataset
DIT-BigData-Project3
Creating and Evaluating two PageRank algorithms in the web-Google dataset
DIT-Machine-Learning-Techniques
Implementation on some Machine Learning Techniques for classification and regression. just like (N)Bayes, Knn, Perceptron and least Squares, Likelyhood, Ridge Rigression. Assignment 1, Machine Learning 2019-2020
DIT-Number-Classification
Number classification in MNIST and SVHN dataset with requested networks and a custom one. Assignment 2, Machine Learning 2019-2020
DIT-Optimal-Vertex-Cover
A simple python script that gives a set of nodes that are the Optiman Vertex Cover (ovc) of a given graph which is generated from a C program
go-inaccess
Technical Assignment
Operation-System-Project-1
Producer-Consumer model with fork(), wait() and mutexes
Operation-System-Project-2
Virtual memory
The-Go-Workshop
A New, Interactive Approach to Learning Go