Dimitris Zerkelidis's Projects
Paper Reproducion of "A Representational Similarity Analysis of the Dynamics of Object Processing Using Single- Trial EEG Classification" . Also use of deep learning techniques instead of LDA,SVM-RBF that is proposed in the paper
Advanced Machine Learning Specialization on Coursera
Some queries with pyspark using map reduce and sql and an implementation of a deep learning model for classification
Contains all of the queries used within the Complete Guide to Elasticsearch course.
Gradient Descent, Newton's method, Projected Gradient Descent
An implementation in cuda of conway's game of life.
Repository with sample code and instructions for creating a complete MLOps training pipeline.
Exploratory Data Analysis in NOAA severe storms dataset from google cloud with some data mining algorithms like DBSCAN, itemsets, hierarchical clustering etc.
Case study for datacamp's data scientist professional certificate
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Code for the online course "Deployment of Machine Learning Models"
Exercises and supplementary material for the machine learning operations course at DTU.
The official repository for the Rock the JVM Flink course
Reproduction of GAIN from Yoon et al.
An atm system using RMI and diffie hellman key exchange
an implementation of link prediction algorithms in a stackoverflow DB using networkx , pandas and scikit.
Lab exercises in msc course in Data Science and Machine learning at NTUA
Kaggle contest pet shelter / multiclass problem
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.
Text mining on imdb reviews. Project in NTUA NLP course
cuda openmp training of neural networks , comparisons and more...
Projects using machine learning algorithms and deep learning frameworks such as Pytorch | Coursework in NTUA pattern recognition course of P.Maragos
An exploratory Data Analysis in phD salaries in R
Two recommender system algorithms for practice. Content-based and collaborative filtering
Simulations and computational statistics
Apache Spark 3 - Structured Streaming Course Material
3 projects in statistical modelling using R
Repo for Stochastic Processes & Optimization Lab (Public Repo)