SAS’ Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
Building Machine Learning Models by Integrating Python and SAS® Viya® was published on SAS Users.
Are you ready to get a jump start on the new year? If you’ve been wanting to brush up your SAS skills or learn something new, there’s no time like a new decade to start! SAS Press is releasing several new books in the upcoming months to help you stay […]
Foresight is 2020! New books to take your skills to the next level was published on SAS Users.
Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model. […]
Machine Learning with SASPy: Exploring and Preparing your data – Part 3 was published on SAS Users.
This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a […]
Machine learning with SASPy: Exploring and preparing your data (part 2) was published on SAS Users.
SASPy is a powerful Python library that interfaces with SAS and can help with your machine-learning solutions. SASPy was created for Python programmers to leverage the power of SAS within their Python scripts. If you are not familiar with SASPy, see the following resources: Introducing SASPy: Use Python code to […]
Machine learning with SASPy: Exploring and preparing your data (part 1) was published on SAS Users.
Editor’s Note: This article was translated and edited by SAS USA and was originally written by Makoto Unemi. The original text is here. SAS previously provided SAS Scripting Wrapper for Analytics Transfer (SWAT), a package for using SAS Viya functions from various general-purpose programming languages such as Python. In addition […]
SAS Viya: Package for Python API for deep learning and image processing: DLPy was published on SAS Users.
You are a data scientist, in your office, doing data scientist-y things when, your manager’s, manager’s, manager makes an impossible request. She wants you take a raw data set from the stem cell research team, scrub the data, create and score models, and be ready to rescore when new data […]
Zero to SAS in 60 Seconds- SAS Machine Learning on SAS Analytics Cloud was published on SAS Users.
I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here’s just the updated section: Continue reading →