Giannis Tolios's repositories
pycaret-book
Repository for the book Simplifying Machine Learning with PyCaret.
gfn-detector
Greek Fake News Detector: A web app that detects fake news written in the greek language, based on spaCy and Streamlit.
covid19-pollution
Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.
hypothesis-test
Statistical Hypothesis Testing with the Pingouin Python Library.
climate-viz
Generating charts and animations for climate change data (GISTEMP v4), with the xarray and cartopy Python libraries.
co2-forecasting
Forecasting Atmospheric CO2 Concentration with Classical and Machine Learning Models.
lulc-keras
Land Use and Land Cover (LULC) Classification using Convolutional Neural Networks and Transfer Learning
pandemic-dashboard
An interactive dashboard for the COVID-19 pandemic, developed with the Dash framework.
airbnb-athens
Exploring the impact of COVID-19 on the Athens Airbnb Market by using data analysis, visualization and natural language processing.
wind-power-forecasting
Forecasting wind park energy production, by using machine learning and deep learning algorithms.
bert-classification
Text classification on news articles with BERT.
climate-nlp
Applying Topic Modeling on Climate Change News Articles.
connect-earth
Data science task for Connect Earth
cybord-projects
Projects for Cybord
derevirn.github.io
My personal website.
eu-data-cleaning
Data cleaning on surveys and other official data sources from EU institutions.
ghaction-gams
Testing Github Actions with GAMS
greek-news-nlp
Applying NLP on greek news articles.
mortgage-classifier
A binary classifier for mortgage approvals, based on XGBoost.
object-detect
Object Detection with the PyTorch Library
pycaret-insurance
Insurance Charges Prediction App with PyCaret and Streamlit.
pyeurostat
A simple python client to query the new eurostat API
transformers-interpret-streamlit
COVID-19 Fake News Detection App.
ts-forecasting
Time Series Forecasting on Solar Irradiance Data with Classical and Machine Learning Models.