Siege's Projects
Using Amazon Lex to create a simple Investment Portfolio Advisor bot
Node CLI (Command Line Application) utilizing Inquirer and MYSQL Node.js libraries
Vanilla HTML website
Simple calculator built with React
Using CAPM to predict stock market performance with Python in Jupyter notebooks
Blockchain copyright recording with Interplanetary File System upload support
Use Tensorflow's LSTM (Long Short-term Memory) RNN (Recurrent Neural Network) to predict a cryptocurrency's next-day closing price.
Introductory case-study on Cadre and related crowd-sourced Real Estate Investment portfolios
A VERY rudimentary 'dating' app.
Simple demonstration/practice app using jQuery for DOM manipulations.
It hamburdurh app. For borgur. To ate.
Using blockchain technology to tokenize ideas and their constituent elements to allow for the trading, purchasing, licensing, and otherwise trackable use of Intellectual Property. Utilizing smart contracts on-chain to allow for more complex arrangements of IP usage, collaboration and crowdsourcing of both IP and VC to build businesses from great ideas.
Simple flowchart for name change and sex marker on documentation in King County, Washington State
Using imbalanced-learn to run machine learning algorithms on credit lending data
Using several machine learning methods to classify risk for loans
Using Natural Language Tool Kit to process data from NewsAPI and analyze sentiment
A web application that scrapes the open web for news and allows users to comment on the resultant articles.
Calculating projected income from running Monte Carlo simulations on investments in a split of stocks and bonds
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A set of classes implementing the Platonic Solids in Processing
A simple, web-based, companion-planting app that allows users to easily query helpful pairings for the plants they want to grow. Plant Companion utilizes MySql for it's database, Node.JS for it's runtime, Sequelize for queries, Express for routing, Handlebars for server-side templating, Bootstrap for styling and Heroku for deployment.
Curated list of project-based tutorials
Predictive modeling of Real Estate using Machine Learning and dimensionality reduction
Using python to read and manipulate CSV files containing mock sales data