Data Science Austria

Beginner’s Guide to LDA Topic Modelling with R

Identifying topics within unstructured text Picture credits Nowadays many people want to start out with Natural Language Processing(NLP). Yet they don’t know where and how to start. It might be because there are too many “guides” or “readings” available, but they don’t exactly tell you where and how to start. … Read moreBeginner’s Guide to LDA Topic Modelling with R

Log Book — Practical guide to Linear & Polynomial Regression in R

This is a practical guide to linear and polynomial regression in R. I have tried to cover the basics of theory and practical implementation of those with the King County Data-set. I am relatively new in my journey within the Data Science realm and this article is sort of a … Read moreLog Book — Practical guide to Linear & Polynomial Regression in R

How to deal with outliers in a noisy population?

Defining outliers can be a straight forward task. On the other hand, deciding what to do with them always requires some deeper study. Motivation Data can be noisy. When you have a small (relative to population size), random sample of the population, especially noisy population, it can be quite a challenge, … Read moreHow to deal with outliers in a noisy population?

Employee Turnover: a Risk Segmenting Investigation

In this post, I conduct a simple risk analysis of employee turnover using the Human Resources Analytics data set from Kaggle. I describe this analysis as an example of simple risk segmenting because I would like to have a general idea of which combination of employee characteristics can provide evidence … Read moreEmployee Turnover: a Risk Segmenting Investigation

Build your own neural network classifier in R

Jun M.BlockedUnblockFollowFollowing Apr 28 ​Introduction Image classification is one important field in Computer Vision, not only because so many applications are associated with it, but also a lot of Computer Vision problems can be effectively reduced to image classification. The state of art tool in image classification is Convolutional Neural … Read moreBuild your own neural network classifier in R