Using Regression Analysis for Causal Inference
Regression analysis is a powerful statistical tool that can be utilized for forecasting a variable or inferring causal relationships with other independent variables. While establishing […]
Regression analysis is a powerful statistical tool that can be utilized for forecasting a variable or inferring causal relationships with other independent variables. While establishing […]
Text mining can be defined as the analysis of semi-structured or unstructured text data. The goal is to turn text information into numbers so that […]
When your goal is to get the best possible results from a predictive model, you need to get the most from what you have. This […]
The raw data doesn’t offer a lot of value in its unprocessed state. However, by applying the right set of tools, we can pull powerful […]
A’ is the probability that if you give a model an example from each category, it will accurately identify which is which. It is the […]
In continuation to my previous blog, here is the analysis of a blog and twitter sample network. Blog Degree: Degree distribution is right skewed. Median […]
Given below is analysis of four simple networks. This analysis is an attempt to peek into the networks and make sense of their structure, the […]
Social Network is a representation of the relationship between various actors in a network. Actors could be people, groups, organizations, computers, Web sites or any […]
Presented here is a very basic social network analysis of four networks completed through Gephi. Gephi is an opensource tool for social network analysis. Network1 […]
This is an example of Basic Tableau analysis completed for Data, Analytics, and Learning course in EDX. Tableau is an easy-to-use analytics and data visualization […]
Data Analysis begins with a question which we are trying to answer. Once we have our question and we have identified our data sources, the […]