by George Perrett - Applied Statistician and Research Scientist Feature Selection Choosing a coffee is fundamentally an exercise in prediction. Presumptive coffee drinkers are presented with an onslaught of variables describing a coffee’s origins, flavors, sent, texture and roasting processes. The combination of variables can rapidly increases to the point of becoming overwhelming. While to … Continue reading LASSO a better cup of coffee
by George Perrett - Applied Statistician and Research Scientist The Rise of Robinhood Amid the economic uncertainty, increased time spent at home and $1,200 stimulus checks, the spring and summer of 2020 witnessed noticeable increases in retail stock and ETF trading. The majority of this rise has taken place on the popular trading app Robinhood, which … Continue reading Stonks only go up, but does Robinhood popularity follow?
Guest Post by Luis Cruz A Quantitative Analysis of Volatility and Market Fundamentals for Trading in the Options Market Using Statistical Arbitrage Introduction In the last few decades, there has been an astonishing demand in the market for derivatives. Options are a very powerful tool for investors and traders. They are complex financial derivatives that … Continue reading A Quantitative Analysis of Volatility and Market Fundamentals for Trading in the Options Market Using Statistical Arbitrage
I recently started reading the book Python Machine Learning by Sebastian Raschka. As I go through the book, I plan on doing a series of posts that will outline what I learn along the way. This post outlines the first chapter, "Training Machine Learning Algorithms for Classification". Specifically, the chapter dives into using a Perceptron … Continue reading Training a Perceptron Model in Python