This article provides a brief explanation of the SVM Classification method of analytics. What is SVM Classification Analysis? SVM Classifications are based on the idea of finding a hyper plane that best divides a dataset into predefined classes, as shown … Continued
This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In … Continued
In this article, we will discuss the Decision Tree analysis method. What is Decision Tree Analysis? There are two basic types of decision tree analysis: Classification and Regression. 1) Classification Trees are used when the target variable is categorical and, as … Continued
This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? It is used to determine whether there is a statistically significant association between the two categorical variables. … Continued
This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible … Continued
This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series … Continued
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? Logistic regression measures the relationship between the categorical target variable and one or more independent variables … Continued
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar … Continued
This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and … Continued
This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series … Continued