ali@fuzzywireless.comMar 3, 20222 min readSupervised and Unsupervised LearningSupervised machine learning is defined as a learning technique to understand the mapping function relating input variable, say X with...
ali@fuzzywireless.comMar 3, 20222 min readR Programming LanguageR is one of the popular languages for reporting, statistical analysis and graphical representation (Tutorials Point, 2019). R offers...
ali@fuzzywireless.comMar 3, 20222 min readLogistic Regression ModelsChandrayan (2017) define supervised machine learning algorithms as the model where the objective is to find the values of dependent...
ali@fuzzywireless.comMar 3, 20222 min readLogistic RegressionBoth linear and logistic regression falls under the family of generalized linear model (WF School of Medicine, 2019). The selection of...
ali@fuzzywireless.comMar 3, 20222 min readGeneral Least Square Model (GLM)General least square model (GLM) is a mathematical format of statistical analysis for regression, analysis of variance, moderation and...
ali@fuzzywireless.comMar 3, 20223 min readBayesian AnalysisThere are two widely used types of statistics, namely Frequentist statistics and Bayesian statistics (Analytics Vidhya, 2016)....
ali@fuzzywireless.comMar 3, 20222 min readDecision TreesDecision trees are non-parametric supervised leaning algorithms used for regression and classification problems (Scikit-learn, 2018). A...
ali@fuzzywireless.comMar 3, 20222 min readEnsemble LearningMachine learning results can be improved by combining several models thus called as ensemble learning (Smalyakov, 2017). This approach...
