Pinned Repositories
airflow-tutorial
Apache Airflow tutorial
bdavis9725
My Personal Repository
bdavis9725.github.io
The code for my Personal Website.
dlcl
The implementation of "Learning Deep Transformer Models for Machine Translation"
How-To-Document-Data-Science-Projects
This project is part of a blog article published at Medium. We like to give you a step by step guide on how to document your Python Data Science Project effectively as part of your machine learning model development. The solution, we propose, ensures that your documentation is version controlled, shipped with the source code executing your machine learning experiment and made available to your users or co-workers using generally available tools including sphinx, GitHub, Microsoft Azure DevOps, and Azure storage or Azure web Services.
Medical-Data-Mining
Cardiovascular Legacy Data assignment using Crisp_DM & Python
MSc_Machine_translation_en-zh
PHP-Location-Tracker
A location tracking system written in PHP integrated with MS-SQL
Python-Music-Recommendation-System
Music Comparison Service Assignment created with Python and Jupyter Notebook.
Sentiment-Analysis-Honours-Thesis
Sentiment Analysis Honours Stage Dissertation using Python. Making use of Natural Language Processing of Twitter data obtained through the API.
bdavis9725's Repositories
bdavis9725/Python-Music-Recommendation-System
Music Comparison Service Assignment created with Python and Jupyter Notebook.
bdavis9725/Medical-Data-Mining
Cardiovascular Legacy Data assignment using Crisp_DM & Python
bdavis9725/Sentiment-Analysis-Honours-Thesis
Sentiment Analysis Honours Stage Dissertation using Python. Making use of Natural Language Processing of Twitter data obtained through the API.
bdavis9725/airflow-tutorial
Apache Airflow tutorial
bdavis9725/bdavis9725
My Personal Repository
bdavis9725/bdavis9725.github.io
The code for my Personal Website.
bdavis9725/dlcl
The implementation of "Learning Deep Transformer Models for Machine Translation"
bdavis9725/How-To-Document-Data-Science-Projects
This project is part of a blog article published at Medium. We like to give you a step by step guide on how to document your Python Data Science Project effectively as part of your machine learning model development. The solution, we propose, ensures that your documentation is version controlled, shipped with the source code executing your machine learning experiment and made available to your users or co-workers using generally available tools including sphinx, GitHub, Microsoft Azure DevOps, and Azure storage or Azure web Services.
bdavis9725/MSc_Machine_translation_en-zh
bdavis9725/PHP-Location-Tracker
A location tracking system written in PHP integrated with MS-SQL
bdavis9725/InfrastructureACW
Computer Systems, Infrastructure & Management ACW.
bdavis9725/Jumble-Mobile-Game
Mobile picture puzzle game developed in Android Studio using Java
bdavis9725/matrix-docker-ansible-deploy
Matrix (An open network for secure, decentralized communication) server setup using Ansible and Docker
bdavis9725/NMT-with-Attention
NMT with Attention