R, which was largely predominant in the academic world, has started picking up a lot in businesses as well. At least that is what I am witnessing among my colleagues. Lot of people have started experimenting with R, choosing the path to enlightenment. ...
Blog Archives
CrowdANALYTIX – Ideation Contest – Warranty Pricing
I recently completed an ideation contest on CrowdANALYTIX where the participants had to build an approach towards warranty pricing and fraud detection.Ideation contests are quite different from the usual data mining contests where the objective is...
Kaggle Prospect – Harvard Business Review
This post is meant for submitting visual analysis for the Harvard Business Review Contest on Kaggle
I used the subject lines for all the articles and all the years and mapped the articles into one of the following 18 categories
Changes in...
I used the subject lines for all the articles and all the years and mapped the articles into one of the following 18 categories
- Business Ethics
- Business Management
- Crisis
- Emerging Markets
- Financial Performance
- Health Care
- Information Technology
- Labor
- Leadership
- Management Systems
- Marketing Strategy
- Regulation
- Social Media
- Stock Market
- Strategic Planning
- Supply Chain
- United States & World
- Women & Management
Changes in...
Project Euler: Problem 20
n! means n x (n - 1) x ... x 3 x 2 x 1For example, 10! = 10 x 9 x ... x 3 x 2 x 1 = 3628800,and the sum of the digits in the number 10! is 3 + 6 + 2 + 8 + 8 + 0 + 0 = 27.Find the sum of the di...
Project Euler: Problem 16
215 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.What is the sum of the digits of the number 21000?Handling large numbers or rather, very large numbers, can be a pain at times. But have no fear, for GMP is here.GMP makes the s...
Create your own Beamer template
For the past couple of days, I had been searching for a tutorial that would show how to create a custom Beamer template. I found some great resources and some really great customized templates (I have listed the ones that I referred to below) but none ...
Modelling with R: part 5
In our exercise of learning modelling in R, we have till now succeeded in doing the following:Importing the dataPreparing and transforming the dataRunning a logistic regressionCreating a decision treeSpecifically, we created a decision tree using the r...
Modelling with R: part 4
In part 3, we ran a logistic model to determine the probability of default of a customer. We also saw the outputs and tried to judge the performance of the model b plotting the ROC curve. Let's try a different approach today. How about a decision tree?...
Modelling with R: part 3
The previous posts, part 1 and part 2, detailed the procedure to successfully import the data and transform the data so that we can extract some useful information from them. Now it's time to get our hands dirty with some predictive modelling.
The dependent variable here is a binary variable taking values "0" and "1", indicating whether the customer...
Modelling with R: part 2
I apologize for the delay in the second post (just in case anybody was waiting), I had been vary involved with work the past week. I shall try to be more regular. Well, in the previous post, we successfully imported data into R and got a basic "feel" o...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
