In this article we will go one step further and discuss regarding Naïve Bayes Classification. This is the second article in our machine learning for beginners’ series. In the last article, we discussed regarding the general idea of Machine Learning. Naïve Bayes Classification Algorithm is a supervised machine learning technique that is used to solve classification problems. Bayes Theorem (posterior probability) forms the core part of the Naïve Bayes algorithm. […]
This is the introductory post in the series of articles on machine learning techniques that I am going the share in coming days. My objective is to help you understand the domain of machine learning and the different tools that are available for us to solve real life problems. Lets enter into the worlds of Machine learning!! If you are already familiar with some basics of machine learning then you […]
Majority of the quantitative research studies that are undertaken by academician and scholars will be one of three types, which we refer to as duplication, generalization or extension. Duplication research studies take some published research and then repeat it under identical scenario and check if the results obtained are same as in the original research study. In some cases the researcher might just use the original data and reanalyze to […]
Decision tree is a popular machine learning technique that is used to solve classification and regression problems. The three most popular algorithm choices that are available when you are running a decision tree are QUEST, CHAID, and CART. When you are working on a classification problem (dealing with categorical dependent variable), any of the three algorithms can be used. Though QUEST algorithm is generally faster compared to the other two […]
Cronbach’s alpha measures the internal consistency of a set of items. In other words, it measures how closeness of a set of items within a group. It is considered as a measure of scale reliability. If you want to test the unidimensionality of a measure, a ‘high’ value of cronbach’s alpha is not sufficient. In order to provide strong evidence that the scale or measure that we are testing is […]
