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About Drew: Drew is the Lead Data Scientist at SpotHero, an on-demand solution to help drivers find their perfect parking spot, reserved ahead of time often at rates much lower than you'd find if you just drove up to the garage. He's also worked at Digital H2O and GrubHub. Drew lives with his wife Alexis and daughter June in Chicago's West Loop neighborhood. [tl;dr] I wrote a Python module called
About Matthew: Matthew Mayo is a Data Scientist and the Deputy Editor of KDnuggets, as well as a machine learning aficionado and an all-around data enthusiast. Matthew holds a Master's degree in Computer Science and a graduate diploma in Data Mining. This post originally appeared on the KDNuggets blog. Introduction Previous KDNuggets instalments of "5 Machine Learning Projects You Can No Longer Ov
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
Let’s briefly discuss this. Open is the price of the stock at the beginning of the trading day (it need not be the closing price of the previous trading day), high is the highest price of the stock on that trading day, low the lowest price of the stock on that trading day, and close the price of the stock at closing time. Volume indicates how many stocks were traded. Adjusted close is the closing
We are now at a point in history when algorithms can learn, like people, about pretty much anything. Facebook is pursuing “computer services that have better perception than people”, while researchers at Google aim to “solve intelligence”. At overlap.ai we’re building artificial intelligence to unite people through their overlapping passions, and here we introduce a framework we call words2map for
Departure from original plan A brief note from the author... After launching ggplot in September of 2014 to great fanfare, there was a bit of a "development hiatus". It took a while, but I finally freed up enough of my weekends to give ggplot some TLC (oh wait not that TLC, this TLC). It was long overdue but I think you'll be really happy with the results. 0.10.0 also marks a shift in project goal
About Piero: Piero Ferrante is the Director of Data Science at C2FO. He and his team are focused on optimizing C2FO’s capital markets through applied machine learning and developing contemporary quantitative risk management systems. Piero also enjoys teaching, rowing, and hacking on open data. You can find him on Twitter and LinkedIn. Intro Geospatial analysis is a massive field with a rich histor
Then & Now A little over a year ago, we released Rodeo to the public. What started as a weekend project with a pretty basic set of requirements took us by surprise when it blew up HackerNews and the Python community. Apparently thousands of people wanted a lightweight IDE for Python, just like we did. Over the course of the six months following the release, we developed Rodeo from a command line t
This is a post about image analysis using my new favorite Python import: scikit-image. Intro Take a couple words, alter them a bit and you've got a CAPTCHA. You've also got an image which is practically unidentifiable by even the most state of the art algorithms. Image analysis is hard, and even a simple task like distinguishing cats from dogs requires a large amount of graduate level mathematics.
About Peadar: Peadar Coyle is a data scientist, author and math geek who specializes in applying robust statistical or machine learning models to data to extract business value. His academic interests range from quantum computing to time series forecasting. Peadar has worked or consulted for Amazon, Vodafone, Import.io and JobTODAY, to name a few. He is a core developer of PyMC3 and a regular spea
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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