Posts

Building an interpretable and explainable model on the Titanic dataset, while obtaining a top tier kaggle score.

What is interpretable and explainable modeling, and how do you do it?

How studying logistic regression lead to being interviewed at Superbowl 50

Base ggplot is great for analysis, but when it comes to presentations.. I don’t feel comfortable putting it in front of a CEO

In the data science field, the data contains the information we use to help improve our business. But what actually is information?

In continuing the problem solving series I want to spend some time with george polya’s problem solving method but focus on an actual data science problem. I came across the following problem at work, and will try to frame it using the classic titanic dataset:

In exploring how to efficiently solve data science problems (typically requiring some stastical, mathematical, or algorthmic solution), I wanted to first dig into George Polya’s “How To Solve It”. How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library) I learned about this book during an algorithms class I took at the Bradfield School of Computer Science.

Continuous learning is critical for a Data Scientist and organizations should actively support and encourage it. The Data Scientist’s Dilemma In a data science role, you are often given a problem with the solution being required within a short time frame (say a week), but you don’t know how to solve the problem.