Time Series Forecasting RShiny dashboard

Analyzed a 10-year USD/EUR exchange rate dataset using ARIMA and Exponential Smoothing forecasting models. Achieved a MAPE of approximately 4.68% and RMSE of about 0.0605 for both models.

Explore the world of European football through comprehensive quantitative analysis, uncovering valuable insights into player attributes, potential, and wage determinants.

Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey

R source code for my Group Project Essay on Generalised Additive Model

This repository provides a systematic implementation and evaluation of advanced statistical measures for data repeatability, grounded in the methodologies outlined in "Statistical Analysis of Data Repeatability Measures" by Wang et al. (2020). It focuses on applying and extending metrics such as discriminability, fingerprinting, and rank sums

population scenarios City of Zurich

This project delivers a time series analysis and short-term forecasting of daily UK Covid-19 case counts using ARIMA models, based on data from January 1, 2020 to June 14, 2020. All analysis was conducted in IBM SPSS, aiming to assess stationarity, build a parsimonious ARIMA model, and forecast cases for the period 15–21 June 2020.

This repo is related to our benchmark entitled: "Decoding the microbiome-metabolome Nexus: A Systematic Benchmark of Integrative Strategies". We provide code to integrate metagenomics and metabolomics data to answer a variety of questions: such as global associations, data summarization, individual associations and feature selection.

This repository contains an implementation and analysis of simple and multiple linear regression using Python. Combines scikit-learn for modeling and statsmodels for statistical inference, with Binder integration for reproducible execution.

Call-center discrete event simulation project mostly done using numpy and simple data structures.

A open source multi arm bandit framework for optimize your website quickly. You’ll quickly use the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through this framework written in Java, which you can easily adapt for deployment on your own website.

Statistical computing in R language. Includes logistic regression, clustering, factor analysis, decision trees, and other multivariate topics as time permits.

In this repository, I learned basic Python programming for Data Analyis and Data Science. 🐍📊. It was an exciting journey!".

Prediction of customer churn with logistic regression in R. Team project from UPC's Master's Degree in Data Science

Personal implementation of the applied exercises of the ISLP book

Statistical models and predictions derived from data from the WNBA 2024 season.

Slides for the 26th International Conference on Computational Statistics (COMPSTAT 2024)

A project about Spatial-Temporal modeling with PM2.5 data. Including Data Analysis, Visualization, Modeling, Onging Paper, Dissertation, Report HTMLs...

A repo of all my baseball analytics projects. Reach me at danielthom18@outlook.com