Name: Konstantinos Orfanakis
Type: User
Bio: Physics PhD student at the University of St Andrews studying the coupling between light and matter. Interested in Data Science and Machine Learning with Python.
Twitter: KOrfanakis
Location: St Andrews, Scotland
Blog: https://www.kaggle.com/korfanakis/notebooks
Konstantinos Orfanakis's Projects
A mini-project that demonstrates how to use Amazon SageMaker to build, train, and deploy a Machine Learning (ML).
A tutorial on using Python to extract the fringe contrast from an interferogram and calculate the temporal decay of the first-order correlation function.
An overview of the COVID-19 pandemic in Greece through various visualisations.
A comparison of the UK and the EU vaccination rollout programs.
A short tutorial on football analytics that demonstrates how to extract and visualise deep completions.
A web application that detects human faces and classifies them based on emotion using a Deep Convolutional Neural Network. Main Python libraries: Keras, OpenCV, and Flask.
This is a repository for creating a financial dashboard app with Streamlit and deploying it online to the Heroku platform.
A short tutorial on using Python to extract football data from Understat and visualise a football match's summary (shot map + stats).
A collection of solutions to various challenge questions from HackerRank π. Domains: MySQL and Regular Expressions (Regex)
An end-to-end Machine Learning project that predicts house prices for a real-estate company (Housing Prices Competition for Kaggle Learn Users - Top 1%).
A collection of solutions to various problem questions from LeetCode π. Domains: MySQL and Python
This repository contains assignment solutions for online courses I have completed.
This repository contains different tools I used during my doctoral degree.
A Machine Learning classification project that predicts customer churn for a bank.
This repository contains my approach to scraping a static website with Pythonβs request and Beautiful Soup libraries.
This repository contains all material (presentations, Jupyter notebooks, etc.) used in my YouTube videos.