LATEST POSTS

Predictive Modeling
[DAY 3/4] Predicting flight prices with Random forest
Before starting this #66daysofdata journey, I built a web scraper to extract award flight prices from NYC to Madrid.  It got me interested in thinking about what next steps I could do with flight pricing...
computer crashing
[DAY 2] #66DAYSOFDATA: THE DUMMY VARIABLE TRAP
On Day 1 of this #66DaysOfData, I used OneHot Encoding on locations on my housing prices data set. This pivots out each location into a separate column and uses a 1 or 0 to designate if it was True or...
Indian Houses
[Day 1] #66DaysofData: Bangalore Housing Price Prediction
I’ve been feeling a bit stagnant in my data skills lately, so I decided to take on the #66DaysofData challenge to improve. And to start off, I picked a pretty cool project: predicting housing prices...
spain
Unlocking Award Flight Secrets with Selenium Web Scraping
WHAT MADE ME DECIDE TO WEBSCRAPE AWARD FLIGHTS As frequent travelers, my wife and I are always looking for ways to save money on flights. One strategy we’ve stumbled upon is to take advantage of...