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Articles by Hannah Roos
Bayesian A/B Testing in R
Analyze social media performance with Bayesian vs. Frequentist statistics Professionals have always wondered how they can improve their products and services. Marketing practitioners usually question how modifications to their website would change online purchases to maximize sales. Similarly, scientists test different drug versions against each other to identify the most effective one for future patients.
Stay Home, Be Brave? A Time Series Approach in Python
Explore Germans’ mental health during the first weeks of the COVID outbreak and learn about the importance of data quality checks Whenever trends, trajectories, or seasonality are of interest, time series analysis is your friend. This array of techniques seems more predominant in the economic and financial world (e.g., stock prices, marketing etc.), yet psychologists have become increasingly interested in adopting it as well.
Caret vs. tidymodels — Create complete reusable machine learning workflows
Photo by Jonathan Tomas on Unsplash If you use machine learning models in R, you probably use either caret or tidymodels. Interestingly, both packages were developed by the same author among many others: Max Kuhn. But how do they compare to each other in terms of feasibility and performance? You may wonder which package you should learn for predictive modelling in R.
Why You Should Say Goodbye to the Classic Bar Plot for Survey Data
Photo by Cristian Escobar on Unsplash There is a huge variety of possible graphs to choose from for data visualization (R Graph Gallery). It paves the way to visualize all imaginable data in a breath-taking way — but also bears the risk of forgetting the bigger picture too quickly. This is what probably happened to me.
Human Resource analytics - Can we predict Employee Turnover with caret in R?
Photo by Charles Forerunner on Unsplash People are the key factors for success to every organization — nothing else produces such a big value like skilled minds in the right time and place. This is why organizations all over the world make tremendous efforts to find and — maybe even more importantly — to maintain valuable talents.
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