Elegant BI
AUGUST 10, 2018
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?
Elegant BI
AUGUST 14, 2018
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm?
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Elegant BI
OCTOBER 18, 2018
What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. In this article, we will discuss the KNN Classification method of analysis.
Elegant BI
MAY 22, 2017
Plug n’ Play Predictive Analytics provides easy-to-use tools that require no programming or data scientist skills and enable the average business user to leverage sophisticated predictive algorithms so users can confidently plan for success. Why and how might an enterprise use Plug n’ Play Predictive Analysis?
Elegant BI
OCTOBER 18, 2018
Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. Business Benefit: Given the health and body profile of a patient and recent treatments and drugs administered, the probability of a cure can be predicted and changes in treatment and drug recommendations can be suggested if required.
Elegant BI
OCTOBER 16, 2018
Business Benefit: Given the patient profile, and current and previous treatments and medications, the doctor can establish a probability of success and make changes in treatments/medications.
Elegant BI
OCTOBER 16, 2018
This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?
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