Introduction ChatGPT, a language generation model developed by OpenAI, has been making waves in the field of natural language processing. With its ability to generate human-like text, it has the potential to revolutionize how we interact with technology. However, there has been some concern that ChatGPT may replace analytics professionals. …

The Vector Auto Regression (VAR) model is one of the most successful, flexible, and easy to use models for the analysis of multivariate time series. It is a natural extension of the univariate autoregressive model to dynamic multivariate time series. The VAR model has proven to be especially useful for…

‘If You Smell, What The Rock Is Cooking!’ This is exactly what came to my mind when I first read about an hierarchical clustering algorithm called ‘ROCK’. The creators of this technique unknowingly drew up an analogy between Dwayne Johnson, the versatile American actor, producer, retired professional wrestler, and former…

Introduction Fuzzy logic principles can be used to cluster multidimensional data, assigning each point a membership in each cluster center from 0 to 100 percent. This can be very powerful compared to traditional hard-threshold clustering where every point is assigned a crisp, exact label. This algorithm works by assigning membership to…

Introduction The exploratory nature of data analysis and data mining makes clustering one of the most usual tasks in these kind of projects. More frequently these projects come from many different application areas like biology, text analysis, signal analysis, etc. that involve larger and larger datasets in the number of examples…

Introduction Clustering is a process to group data into several clusters or groups so the data in one cluster has a maximum level of similarity and data between clusters has a minimum similarity. K-means (Duda & Hart, 1973; Bishop, 1995) has long been the workhorse for metric data. Its attractiveness lies…

This article assumes that you have a basic understanding of A/B Testing and statistical tests. Here we will discuss some tips to ensure the success of A/B Tests. A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app…

These days analytics professionals favor Neural Networks (NN) over SVM’s for want of higher accuracy. We can find many papers that prove the superiority of NN over SVM. This is also due to the fact that if one can train a NN that performs better than SVM, then it becomes…

Kernels or kernel methods (also called Kernel functions) are sets of different types of algorithms that are being used for pattern analysis. They are used to solve a non-linear problem by using a linear classifier. Kernels Methods are employed in SVM (Support Vector Machines) which are used in classification and…