Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels

This post was originally published here In this post, we’ll walk through building linear regression models to predict housing prices resulting from economic activity. Topics covered will include: What is Regression Variable Selection Reading in the Data with pandas Ordinary Least Squares (OLS) Assumptions Simple Linear Regression Regression Plots Multiple Linear Regression Another Look at […]

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A Simple Trending Products Recommendation Engine in Python

by Chris Clark | February 28, 2017 This blogpost originally appeared on Chris Clark’s blog. Chris is the cofounder of Grove Collaborative, a certified B-corp that delivers amazing, affordardable and effective natural products to your doorstep. We’re fans. Background Our product recommendations at Grove.co were boring. I knew that because our customers told us. When […]

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How to Integrate OAuth 2 Into Your Django/DRF Back-end Without Going Insane

So you’ve implemented user authentication. Now, you want to allow your users to log in with Twitter, Facebook or Google. No problem. You’re only a few lines of code away from doing so. But while there are hundreds of OAuth 2 packages that pip knows, only a few actually do what they’re supposed to do. […]

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