Data Science

How to choose right programming language for analytics

Choosing the best programming language for data science can be a very challenging task as all the languages have their own standouts in terms of parameters such as performance speed, libraries, extensions, interaction with the web and other apps, etc.

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Know the difference between four data science techniques

  Data science is a vast field to learn. The techniques used in data science help in extracting meaningful insights from data. These techniques also serve as a foundation for many other well-known algorithms. However, they do differ in terms

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Introduction to Logistic Regression

Logistic regression is used to predict a discrete outcome based on variables which may be discrete, continuous or mixed. Thus, when the dependent variable has two or more discrete outcomes, logistic regression is a commonly used technique. The outcome could

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Manipulating Data in R

R is one of the best languages for data analysis. It has over 10,837 add-on packages with more than 98,996 members on LinkedIn’s R Group. The best thing about R is that it is open source, very powerful and can

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Making Sense of Data

Humans are good at correlating things in almost every aspect of their lives. It comes by nature and is completely inevitable. We make decisions in life mostly based on correlations. However, the strength of association and what one imagines is

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Cluster Analysis and Unsupervised Machine Learning in R

 Cluster analysis is one of the most used techniques to segment data in a multivariate analysis. It is an example of unsupervised machine learning and has widespread application in business analytics. Cluster analysis is a method of grouping a set

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