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All Blog Posts Tagged 'Component' (3)

Variable Reduction: An art as well as Science

Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophisticated data mining techniques, the number of variables encountered is often tremendous making variable selection or dimension reduction techniques imperative to produce models with acceptable accuracy and generalization. The temptation to build an ecological model using all available information (i.e., all variables) is hard to…

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Added by Valiance Solutions on April 21, 2017 at 9:20pm — No Comments

The Most Common Analytical and Statistical Mistakes

It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical blunders that we generally make and how to avoid them.

To make this information simple and consumable I have divided these errors into two parts:

  1. Data Visualization Errors (Erroneous Graphs)
  2. Statistical Blunders Galore (pun intended)

 

Data…

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Added by Sunil Kappal on January 3, 2017 at 7:00am — 4 Comments

A Statistical Approach to Pick the Most Impactful Advertising Channel for Product Marketing

In the wake of ZMOT (Zero Moment of Truth) it becomes pivotal for any product company to choose the most appropriate advertisement channel for the promotion of their products. This not only helps the organizations to maximize their chances of creating the best first impression but will also help them to be discovered by today’s tech savvy consumers.

Today we will talk about a very…

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Added by Sunil Kappal on December 30, 2016 at 8:30am — No Comments

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