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Tricia JenkinsFebruary 13, 2020 0

Experience SAS Global Forum: A First-Timer’s View & Tip Sheet

If you’re a SAS user, you know that SAS Global Forum is where you want to be! It’s our premier, can’t-miss event for SAS professionals—that includes thousands of users, executives, partners and academics. It’s also our largest users’ event, organized by users, for users, and this year’s event marks our

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Advanced Analytics | Analytics | Machine Learning | Programming Tips

Nelson GrajalesDecember 11, 2019 0

Machine Learning with SASPy: Exploring and Preparing your data - Part 3

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.

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Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson GrajalesDecember 11, 2019 0

Adding SAS® procedures to the SASPy interface to Python

Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So,

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Analytics | Programming Tips

Yinliang WuNovember 27, 2019 5

Implementing HMA, WMA & SMA with 27 lines of SAS code

With time series data analysis, we can apply moving average methods to predict data points without seasonality. This includes Simple Average (SA), Simple Moving Average (SMA), Weighted Moving Average (WMA), Exponential Moving Average (EMA), etc. For series with a trend but without seasonality, we can use linear, non-linear and autoregressive

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Advanced Analytics | Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson GrajalesSeptember 27, 2019 1

Machine learning with SASPy: Exploring and preparing your data (part 2)

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

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Analytics | Data Management | Learn SAS | Programming Tips

Kumar ThangamuthuSeptember 26, 2019 0

Data and Analytics Innovation using SAS & Spark - part 2

In part 1 of this post, we looked at setting up Spark jobs from Cloud Analytics Services (CAS) to load and save data to and from Hadoop. Now we are moving on to the next step in the analytic cycle, scoring data in Hadoop and executing SAS code as a

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Advanced Analytics | Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson GrajalesSeptember 9, 2019 4

Machine learning with SASPy: Exploring and preparing your data (part 1)

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

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Analytics | Data Visualization | Programming Tips

SAS SoftwareSeptember 9, 2019 0

SAS Viya: Package for Python API for deep learning and image processing: DLPy

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

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Analytics | Data Visualization

Cindy WangAugust 28, 2019 5

How to Calculate Hull Moving Average in SAS Visual Analytics

Moving Average (MA) is a common indicator in stocks, securities and futures trading in financial markets to gauge momentum and confirm trends. MA is often used to smooth out short-term fluctuations and show long-term trends. But most MA indicators have big lags in signaling a changing trend. To be faster

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