Projects @ Data Science Retreat
All participants have the opportunity to engage in project work. Executing a substantial data science project shows your skills. See what data enthusiasts like you achieved at Data Science Retreat as a result of their training here, and imagination they brought with them. Get an impression of their experience by watching graduates talk through their projects - from the spark in inspiration to the finished product.
Dr. Juliana Du is a doctor in Human Genetics. She enrolled at DSR as part of Batch 13, and ended up building an app that uses computer vision to diagnose melanoma in humans.
A pertinent project for a Post-Truth Era, Diego Amicabile has worked across Europe in the IT industry for nearly two decades before coming to Data Science Retreat Batch 12 and starting work on a Fake News Detector (no, not "Generator"!) to expose fictitious news stories in the tech world.
Dr. Setareh Sadjadi was a chemical engineer in DSR Batch 13. She wanted to produce a project relating to climate change and the promotion renewable energy usage. She wrote a script to predict and forecast the photovoltaic power from a solar-panelled roof.
Dr. James Ryan was a theoretical physicist from Ireland when he joined Batch 13 of DSR in 2018. His time at the Retreat saw him produce a real-time road sign detector from scratch using a Raspberry Pi to be used in cars in a mere two weeks. How did he do...? Find out!
Petroleum enineer Antoine Montaut was - until his time at DSR - a petrophysicist in Austin, Texas. His project for DSR took a more theoretical approach, and combined ermergence and reinforcement learning, to produce visualisations on how reinforcement learning works, through the medium of the humble ant colony.
Christian Lübbe is a PhD holder in Math, Lecturer at the University of Oxford and a participant of Data Science Retreat, Batch 14. His project at DSR aimed at "Predicting the petrol prices in Germany"
Teresita Guerrero, a software engineer from Intel corporation and a participant of Data Science Retreat- Batch 14. Her project aimed at building an "Email summarizer using NLP to summarize email threads"
Frederik Schorr, a trained Mathematician, a Management Consultant and a Chief Information Officer. He was a participant of Data Science Retreat Batch 14 and his project aimed at "Sign language recognition for deaf-mute people. Video classification using Deep Learning"
If you would rather see some code
Have a look at some projects' source and think how you could make them cooler. We want our participants to collaborate, and build a vibrant community.
Collaborative filtering (Alternating least squares (ALS) and the Universal Recommender (UR)) are evaluated to recommend interesting repositories for GitHub users according to their preferences: forks and stars.
CNN model to decide the direction while driving. Deconvolution mask for visulization to diagnose driving errors - what did the trained CNN model ‘see’ that caused ‘confusion’.
Control system for a parking lot based on reinforcement learning, where an AI can take control of the customer's car and dispach/retrieve it to/from a designated parking spot.
A repository of images of hand-written Cyrillic and Latin alphabet letters for machine learning applications. CoMNIST also makes available a web service that reads drawing and identifies the word/letter you have drawn.
It translates American Sign Language (ASL) to fingerspelled alphabet (26 letters) using transfer learning to extract features. This model is a real-time system with OpenCV - reading frames from a web camera and classifying them frame-by-frame.
With 130 songs in MIDI format of Ramones and the lyrics of all their 178 songs, a deep learning neural network was trained to write guitar and bass lines for Ramones-inspired music.