This page lets you enter multiple stock tickers (eg. AAPL, MSFT, GOOGL) and even portfolio expressions (eg. 1.75*NVDA+2.5*AMZN+5.5*KO) and compare their returns visually against a benchmark (like SPY). It’s built with Python and Flask on the backend. Data comes from Yahoo Finance via the yfinance library, pandas crunches the numbers, and matplotlib generates the plots….
Tag: Matplotlib
Sentiment Classifier
My Flatiron School Data Science Bootcamp Phase 3 Project was to address the business problem of brand reputation management by monitoring and analyzing Twitter sentiment. The goal was to develop a machine learning model that can correctly classify tweets as positive, negative, or neutral, and provide insights to improve brand perception and engagement strategies. View…
Boolean Network Animation
This page animates the dynamics of a random boolean network, a collection of interconnected binary variables with a rule for determining the next state from the current one. 🔗 network.blakerayvid.com View on GitHub
Epidemic Simulator
This Jupyter notebook simulates a disease spreading through a community in random motion. Individuals are represented as points undergoing independent random walks in a bounded 2D environment. Parameters include: the population size, the average population density, the number of times to evolve the system, the number of trials to conduct, and the fraction of the…