dublin-ireland

Interactive cryptocurrency prediction app using machine learning and Streamlit. Analyse trends, forecast prices, and explore market insights.

Real-time flight tracking app using OpenSky Network API, built with Streamlit for interactive data visualisation of global flights.

A Streamlit app for supply chain data analytics, forecasting, inventory optimization, customer segmentation, and statistical testing. Built using Python, machine learning, and interactive visualisations.

Python module for Luas 🚊 travel updates API

Public profile README covering how I approach product, AI systems, and customer signal in production.

These are Dublin Business Projects and Class Lessons taking for my Computer Science Degree. Key Modules: Principles of Programming, Database Design and Development, Information Systems Development & Management, Object Oriented Programming, Web Design and Development, Operating Systems and Networks, Web and Cloud Application Development, Advanced…

By 2020, the Central Statistics Office predicts the Dublin Region will reach a population of 2.1 million by 2020, with Dublin City will have a population of 610,000.This project aims at solving the current public transportation problems and providing a better solution for future.

Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.

Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.

Interactive statistics analysis app using Python and Streamlit. Perform key statistical tests, visualise distributions, and explore data with ease.

Visualising the road speeds of Dublin 🚦🚗

Explore Dublin's homelessness crisis: causes, effects, and potential solutions. Understand the challenges and discover ways to make a positive impact.

A real-time Dublin Bus tracking app built with Streamlit, leveraging live API data to visualise bus routes, stops, and schedules.

A machine learning project focused on predicting California housing prices. Includes data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and performance evaluation.