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Use of statistical tools, methodologies, and models in human resource management has increased because of HR analytics and predictive HR decision making. Financial data analysis use Statistical tools in the areas of loan payment prediction, customer credit policy analysis, classification and clustering of customers for targeted marketing, fraud detection. In retail industry, as data is from various sources like sales, customer purchasing history, goods transportation, consumption and services, Statistical tools help in better decision making. Telecommunication industry extensively uses Statistics tools to identify telecommunication patterns, detect fraudulent activities, improve the quality of services and optimize resources.Healthcare data analytics helping to realize the goals of diagnosing, treating, helping, and healing all patients in need of healthcare.
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In this article, R graphics of ggplot2 were used to represent a complex set of Data Visualization. A correlation between corruption and development THE use of public office for private gain benefits a powerful few while imposing costs on large swathes of society. Transparency International’s annual Corruption Perceptions Index, published on December 1st 2011, measures the perceived levels of Read more about How R Graphics look?[…]
Heating up: R language Who: Data scientists with strong statistics Data scientists have a number of option to analyze data using statistical methods. One of the most convenient and powerful methods is to use the free R programming language. R is one of the best ways to create reproducible, high-quality analysis, since unlike a spreadsheet, R scripts can Read more about Hot data analytics trends[…]
Stock Trading Strategies using Support Vector Machine (SVM) The specific kernel function we use in this study is the radial kernel. It classifies test examples based on the example’s Euclidean distance to the training points, and weights closer training points more heavily. The classification is based heavily on the most similar training examples and follows Read more about Stock Trading Strategies : Latest Tool[…]
Application of Random Forest using R Loan Approval Prediction: Nowadays, Banks wish to automate the loan eligibility process (real time) based on customer details such as Income, Age, Experience, Previous Loans, Loan Amount and Loan period. provided in online application form. As the number of transactions in banking sector is rapidly growing and huge Read more about Random Forest : Default detection[…]
PortfolioAnalytics in R can be used to specify a portfolio object, add constraints and objects, and run optimizations models. Data : For constructing Portfolio models using PortfolioAnalytics, top 6 companies of L&T India value fund were selected. ( as per the following latest reports.) Share prices of these six companies were Read more about Portfolio Analysis using R[…]
Cluster Analysis for Marketing Decisions: Customer Segmentation Clustering is a statistical tool to form groups (clusters) of similar observations. Between the groups (clusters) they are dissimilar with respect to a particular measurement. This is an unsupervised method, as there is no response variable. So, data is not trained by any response variable. K-means clustering is Read more about Customer Segmentation[…]