Daniel Sharp

A dashboard built on Streamlit to explore crime statistics in England

A guide on building your own internet speed monitor using a Raspberry Pi, Docker, Python and Apache Superset

A guide on using Jupyter Notebooks to programatically update content and automate generation of reports

An analysis on the growth of entrepeneurial initiatieves through lockdown

An analysis on how stocking issues due to COVID affected customer service at cycling retailers

A practical guide to exploring stocks in the London Stock Exchange using Graph Networks

A guide to making your data and machine learning models available to the general public

Using LIME to interpret predictions from a neural network and explore bias

This project consists on predicting the probability a credit card client will default based on data from other customers from a bank in Taiwan.

Implementation of Stochastic Gradient Descent in CUDA

Built a dashboard in R Shiny to explore crime in Mexico City