📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
A lightweight version of R Markdown (without dependency on Pandoc or knitr)
Basic statistical modelling examples.
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be f…
🌍 This repository hosts an in-depth analysis of COVID-19's impact across five key countries from Jan 2020 to Dec 2021. Through advanced data analysis and visualization, we aim to provide insights into how the pandemic evolved differently across these nations, shedding light on the effectiveness of various health measures and vaccination campaigns.
Use h5p, shiny apps and learnrs in online courses (bookdown)
List of useful R packages for data scientists
Provides tools for calculating a Social Vulnerability or Adaptive Capacity Index in R using the US Census API and Tidycensus. Creates an interactive leaflet web map, CSV and ESRI Shapefile.
Metabolomics Targeted Quality Control
Data Science | Machine Learning | Data Analysis
Workshop to introduce R Markdown and related, with an eye toward reproducible research.
A Snakemake workflow for the design of small guide RNAs (sgRNAs) for CRISPR applications.
Basic Machine Learning Examples.
Learn the fundamentals of R programming, from reading and writing data to customizing visualizations and performing predictive analysis on data.
Marketing and business analytics; Market Response Modeling for a telecommunications provider.
This is my personal, automated reporting to keep track of the classes I attend at my gym.
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