Because data transformation is where it all begins
Determine the percent of daily return from one closing price to the next closing price.
PythonFinancial Market Forecasting
Computes the z-score of the requested ride, relative to historical rides.
Compute the Jaccard similarity between the user's search query and the candidate product title.
PythonSearch and Ranking
Determine if the candidate product is included in the user's most recent 10 product visits within the last hour.
Determine an applicant’s total spend across accounts in the last 30, 60, and 90 days.
Determine how recently your users have engaged with a product.
Identify by how many standard deviations the current transaction amount deviates from the mean transaction amount for a user.
Capture a user’s previous interactions and ratings with books from the same author and category as the book currently being considered.
Calculate the distance between the current transaction location and the user’s previous transaction location.
Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!
However, we are currently looking to interview members of the machine learning community to learn more about current trends.
If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.
Interested in trying Tecton? Leave us your information below and we’ll be in touch.