Interactive cryptocurrency prediction app using machine learning and Streamlit. Analyse trends, forecast prices, and explore market insights.
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Updated
Mar 11, 2025 - Python
Interactive cryptocurrency prediction app using machine learning and Streamlit. Analyse trends, forecast prices, and explore market insights.
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.
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.
Visualising the road speeds of Dublin 🚦🚗
Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.
This website provides availability of Dublin bikes at a given stop.
Explore Dublin's homelessness crisis: causes, effects, and potential solutions. Understand the challenges and discover ways to make a positive impact.
Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.
Interactive statistics analysis app using Python and Streamlit. Perform key statistical tests, visualise distributions, and explore data with ease.
A real-time Dublin Bus tracking app built with Streamlit, leveraging live API data to visualise bus routes, stops, and schedules.
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