Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
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Updated
Apr 20, 2023 - SAS
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
This repository contains a SAS program that analyses claims data obtained from the Transportation Security Administration (TSA). The program addresses data and report requirements for the case study, providing insights into injuries, property loss, and damage during the airport screening process.
Data preprocessing, feature engineering, and EDA for "Big Mart Sales" data set using SAS Studio. The dataset is taken from Kaggle (https://www.kaggle.com/mrmorj/big-mart-sales).
This SAS case study aims to prepare the inbound and outbound tourism data for countries and continents in 2014. The program effectively addresses the data requirements, enabling analyst team to to perform analyses aimed at growing company's market share.
About this Professional Certificate When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare yo…
This SAS case study aims to generate simple cross-tab in Proc Freq to exam possible trend of weight loss (in lb) in response to daily walking steps. The program effectively addresses the data requirements, enabling quick analysis on the relationship between weight loss and daily walking steps.
Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.
simple sas project to bring in .dat file and perform operations on it and generate reports
All module assignments of SAS-Programming internshala course iwth code and output.
A repository containing some accessible SAS programs (maybe Python in future), macros and SAS Studio Custom Steps to carry out common tasks and operations. Also serves as a test bed for some future contribution to SAS Studio Custom Steps: https://www.github.com/sassoftware/sas-studio-custom-steps.
Upstream repository for a SAS Studio Custom Step to copy files between filesystem and the SAS Infrastructure Data Server (SAS Content)
A collection of tests for a recent macro (authored by Chris Hemedinger) which allows a SAS code to include SAS content from SAS notebooks
Upstream repository for the Find Nearest Neighbors Custom Step, which searches a base table to identify nearest neighbors to observations in an input query table, based on a distance formula. Note downstream contribution is part of https://github.com/sassoftware/sas-studio-custom-steps
Popular SAS Clinical Graphics
Materials from a paper/talk for Southeast SAS User Group Conference
Created by Tony Barr, Jim Goodnight
Released January 1972