C++
A custom implementation of the Naive Bayes algorithm in C++ using an imdb dataset.
Code: github.com/mar-kan/NaiveBayesImplementation
04/2022
Python, R
BSc thesis in Deep Learning for diagnosing and classifying cancer types, using RNA-sequencing data, converted into 2D images.
Paper: pergamos.lib.uoa.gr/Kanellaki_thesis
Code: github.com/mar-kan/thesis
10/2022-02/2022
Java
Semantics check for the minijava language.
Code: github.com/mar-kan/semantics_check_for_minijava
LLVM translator for minijava input files.
Code: github.com/mar-kan/semantics_check_for_minijava
04/2021-05/2021
C
A database management system that uses block files. There are three implementations:
the first one organizes the files into a heap and the second one into a hash table.
Code: github.com/mar-kan/DBMS_System
The last implementation uses two hash tables, the first one using the primary key the id number and the second one the secondary key surname.
Code: github.com/mar-kan/DBMS_System_secondary_index
12/2020
Python
This project consists of 3 parts:
▫ a bottleneck autoencoder for image compression,
▫ heuristic or approximate search for the nearest neighbor images using, Manhattan Distance and
▫ heuristic search of the 10 nearest neighbor images, using Earth Mover's Distance.
Code: github.com/mar-kan/algorithm_project
11/2020
Python, Tensorflow, Keras
This project trains an autoencoder model to encode and reconstruct images.
Code: github.com/mar-kan/autoencoder
10/2020
C/C++, Bash script, forks, pthreads, Linux
Q/A application that monitors diseases, stores patient records in hand-written data structures and executes commands regarding disease statistics (The data structures used are Linked List, Hash Table, AVL Tree, Max Heap, Priority Queue).
Code: github.com/mar-kan/diseaseMonitor
Child processes were added in this version using forks. The records are divided between the child processes and the commands are sent to every worker. The worker that finds results sends them back to the aggregator.
Code: github.com/mar-kan/diseaseAggregator
In this version, a multi-threaded server (receives queries and sends them to the workers) and a client (sends queries to the server) were added to the previous project. This project can also be executed in different machines.
Code: github.com/mar-kan/server-client-project
03/2020-06/2020
Python
Experimental Project for classifying news articles based on subject, using SVM, Random Forests and Naïve Bayes.
Code: github.com/mar-kan/ML-algorithms-Classification
Experimental Project for binary classification on youtube comments. Experimentation on optimizations with SVM, Random Forests and Naïve Bayes.
Code: github.com/mar-kan/ML-Sentiment-Classification
04/2020-05/2020
Python
Data Mining Project on a bnb dataset to extract information about prices, neighborhoods and other relevant data.
Code: github.com/mar-kan/data_mining_bnb
03/2020
C++
A simplified version of the Legend of The Five Rings game without graphics.
Code: github.com/mar-kan/card-game
01/2020