A collection of my notes and information that I came across while exploring Machine Learning and Data Science. This information is primarily targeted at my meetup group - Dublin Data Science Beginners. If you are in Dublin, I would like to extend an invitation to attend one of the meetup sessions. Good luck with your learning.
Interactive cryptocurrency prediction app using machine learning and Streamlit. Analyse trends, forecast prices, and explore market insights.
Node.js module with utility functions to get real time data for Irish public transport (Irish Rail, Luas, Dublin Bus)
Redirects to new URL https://codema-dev.github.io
The file Dataset.csv contains the Historical Monthly Data recorded at the Dublin Airport Met Eireann Weather Observing Station from November 1941 to May 2019. The data set contains the following variables: -Year -Month -Precipitation Amount (mm) Maximum Air Temperature (C) - Minimum Air Temperature (C) - Mean Maximum Temperature (C) -Mean Minimu…
A Streamlit app for supply chain data analytics, forecasting, inventory optimization, customer segmentation, and statistical testing. Built using Python, machine learning, and interactive visualisations.
Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.
Discovering communities in meetup.com network in Dublin
Real-time flight tracking app using OpenSky Network API, built with Streamlit for interactive data visualisation of global flights.
Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.
This website provides availability of Dublin bikes at a given stop.
Miscellaneous Javascript projects etc
A real-time Dublin Bus tracking app built with Streamlit, leveraging live API data to visualise bus routes, stops, and schedules.
LUAS wait times with hopes to implement Geo Fencing and a Wear OS app. Hosted on my own Linode VPS running Ubuntu 16, with CapRover as my App (Docker) manager.
Using Python in Jupyter Notebook to recreate queries for imaginary stakeholders. Demonstrates connecting to MySQL, exporting tables to Excel, merging data, cleaning datasets, and counting orders. Visualizations include bar plots, revenue plots, pie charts, scatter charts, and map manipulation with geopandas. Dataset from MySQL.
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