In June 2015, the City of Chicago released data to Kaggle and asked competitors to predict which areas of the city would be more prone to West Nile Virus outbreaks.
Visions of the future are never completely true, but with the right key, some can be more truthful than others. Here’s an introduction to the neural network library, Keras, which I used to predict handwritten numbers.
Sometimes you can’t get everything you want. Here’s an afternoon hackathon project that challenged me to make the most of what I had.
With an endless supply of things to read on the internet, it seems impossible to write a post that anyone else but your mom will read. But with a few (hundred) lines of code, even a platform as wild as Reddit can be neatly distilled into a handful of targeted insights.
When buying a new home, everyone wants the most bang for the buck. To that end, I analyzed homes in Ames, Iowa to identify what features of a house contribute the most to its sale price.
While the infamous shipwreck happened over 100 years ago, its cultural significance is sunk deep into our collective memory as one of the most tragic manifestations of hubris, classism, and dumb luck. To that end, I analyzed the data provided on Kaggle’s website to determine more specifically how features such as age, gender, class, and wealth predetermined a passenger’s fate on April 15, 1911 aboard the RMS Titanic.
On April 23, 2018, I enrolled in General Assembly’s Data Science course, a full-time immersion program designed to teach programming languages, data analysis techniques, and machine learning skills in 12 weeks.
General Assembly | Bootcamp | Logistic Regression | Random Forest | XGBoost | Python | Linear Regression | Web Scraping | Natural Language Processing | Beautiful Soup | Hackathon | Neural Network | Keras | Balanced Classes | Kaggle | Coding Bootcamp | SQL | Job Search | Plotly-Dash |