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