SAS Users
Providing technical tips and support information, written for and by SAS users.
Developing an accurate understanding of statistics will help you build robust machine learning models that are optimized for a given business problem. SAS launched a new course that provides a comprehensive overview of the fundamentals of statistics that you'll need to start your data science journey. This course is also a prerequisite to many courses in the SAS data science curriculum.
Accomplish something great with SAS software? Enter the 2024 SAS Customer Recognition Awards contest through Jan. 19.
Learn how to split your data into a training and validation data set to be used for modeling. In part 3 of this series, we replaced the missing values with imputed values. Our final step in preparing the data for modeling is to split the data into a training and
In SAS Viya 4 you can create Reports in SAS Visual Analytics that you may want to move around between machines. What if you want copy a report for example from a development environment folder to a production environment folder? You may want to work on the report in one system before putting it onto a final system and making it generally available. Or you may want to have a backup copy saved for recovery purposes. This blog post provides an updated description of how to easily save off SAS Visual Analytics report content to a file and easily move it between machines.
In part 1 of this series, we examined our data before building any models. Among the discoveries were missing values in some of our columns. Missing values are an inevitable part of data analysis. Whether it's due to a faulty sensor, human error, or simply the absence of information, missing
K Nearest Neighbour is an algorithm that stores all the available observations and classifies the new data based on a similarity measure.