ŷhat | Classifying handwritten digits using TensorFlow
Phew! We've got over 80,000 numbers in various stages of being drawn. To get these images into Python I used the skimage library which provides a consistent, easy to use API on top of OpenCV, scipy, and other python-image tools. You can see below that I'm looping through each image file and turning it into a numpy array using the get_image_data function. get_image_data takes an image file and does
ŷhat | Building a (semi) Autonomous Drone with Python
They might not be delivering our mail (or our burritos) yet, but drones are now simple, small, and affordable enough that they can be considered a toy. You can even customize and program some of them via handy dandy Application Programming Interfaces (APIs)! The Parrot AR Drone has an API that lets you control not only the drone's movement but also stream video and images from its camera. In this
ŷhat | Customer Segmentation in Python
A quick K-Means primer In order to segment our customers, we need a way to compare them. To do this we're going to use K-Means clustering. K-means is a way of taking a dataset and finding groups (or clusters) of points that have similar properties. K-means works by grouping the points together in such a way that the distance between all the points and the midpoint of the cluster they belong to is
ŷhat | Summarizing Data in SQL
About Matt: Matt DeLand is Co-Founder and Data Scientist at Wagon. His team is building a collaborative SQL editor for analysts and engineers. He studied algebraic geometry at Columbia University, taught at the University of Michigan, and now enjoys applied machine learning— his mom is very proud! Introduction How quickly can you understand data from your database? Excel croaks at ten thousands ro
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ŷhat | What is Singular Value Decomposition?
