Happy birthday, Featuretools! One year ago, we open sourced Featuretools, making it available to the entire world.

As the demand from businesses to leverage machine learning continues growing at an exponential rate, the current time-intensive process that heavily relies on highly-skilled ML experts won’t suffice.

Feature engineering is challenging because it depends on leveraging human intuition to interpret implicit signals in datasets that machine learning algorithms use. Consequently, feature engineering is often the determining factor in whether a data science project is successful or not.

I created Deep Feature Synthesis two years ago while I was a student at MIT. My intention from the very beginning was to one day share that technology with the world. That day has finally come, and Featuretools [https://www.featuretools.com/?__hstc=204809999.d7ea11725265176c25a2ba8c7ce2fa86.1513016275744.1513267639349.1513273501689.18&__hssc=