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## Twitter Sentiment Analysis using R

In the past one decade, there has been an exponential surge in the online activity of people across the globe. The volume of posts that are made on the web every second runs into millions. To add to this, the rise of social media platforms has led to flooding to...

## Programming with R – How to Get a Frequency Table of a Categorical Variable as a Data Frame

Categorical data is a kind of data which has a predefined set of values. Taking “Child”, “Adult” or “Senior” instead of keeping the age of a person to be a number is one such example of using age as categorical. However, before using categorical data, one must know...

## Performing Nonlinear Least Square and Nonlinear Regressions in R

Linear regression is a basic tool. It works on the assumption that there exists a linear relationship between the dependent and independent variable, also known as the explanatory variables and output. However, not all problems have such a linear relationship. In...

## A Beginner’s Guide to Channel Attribution Modeling in Marketing (using Markov Chains, with a case study in R)

Introduction In a typical ‘from think to buy’ customer journey, a customer goes through multiple touch points before zeroing in on the final product to buy. This is even more prominent in the case of e-commerce sales. It is relatively easier to track which are the...

## Creating & Visualizing Neural Network in R

Introduction Neural network is an information-processing machine and can be viewed as analogous to human nervous system. Just like human nervous system, which is made up of interconnected neurons, a neural network is made up of interconnected information processing...

## Modelling Time Series Processes using GARCH

To go into the turbulent seas of volatile data and analyze it in a time changing setting, ARCH models were developed. Marching towards the ARCH and GARCH When techniques like linear regression or time series were aimed at modelling the general trend exhibited by a set...
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