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Database on Cloud

Connelly & Begg (2014) define cloud computing as a model comprising of shared pool of virtualized resources like, networks, servers,...

Database

Database is an important entity for any organization to store, manage and analyze data efficiently using desired software application...

Enterprise Data Warehouse (EDW)

Inmon’s approach started by setting up data model of all enterprise data to implement enterprise data warehouse (Connelly & Begg, 2014)....

NoSQL & MapReduce

NoSQL databases are based on aggregate-oriented data model which means that for an example of shopping cart, all items are stored and...

Supervised and Unsupervised Learning

Supervised machine learning is defined as a learning technique to understand the mapping function relating input variable, say X with...

R Programming Language

R is one of the popular languages for reporting, statistical analysis and graphical representation (Tutorials Point, 2019). R offers...

Logistic Regression Models

Chandrayan (2017) define supervised machine learning algorithms as the model where the objective is to find the values of dependent...

Logistic Regression

Both linear and logistic regression falls under the family of generalized linear model (WF School of Medicine, 2019). The selection of...

General Least Square Model (GLM)

General least square model (GLM) is a mathematical format of statistical analysis for regression, analysis of variance, moderation and...

Bayesian Analysis

There are two widely used types of statistics, namely Frequentist statistics and Bayesian statistics (Analytics Vidhya, 2016)....

Decision Trees

Decision trees are non-parametric supervised leaning algorithms used for regression and classification problems (Scikit-learn, 2018). A...

Ensemble Learning

Machine learning results can be improved by combining several models thus called as ensemble learning (Smalyakov, 2017). This approach...

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