Jan 14, 2022Use R for prototyping a productivity appBuilding OCR tools with the R-language — R can be used for numerous applications. Its extensive amount of libraries include even non-statistical tools, such as optical character recognition (OCR) which is handy for productivity apps, such as for the automation of classical accounting tasks, e.g. registering bills with their data in a central log. The use-case of…Rstats6 min readRstats6 min read
Sep 10, 2021Finger exercises on data – Multicollinearity and factor analysisHow does multicollinearity affect a toy model under laboratory circumstances and what can be done about it — Background Multicollinearity is a topic that every first-year student comes across, even before multiple regression appears on the curriculum. …Data Science4 min readData Science4 min read
Published in Towards Data Science·Apr 30, 2021Forecasting at scale with Facebook Prophet — a case study on its merits & limitationsDomain knowledge remains a deciding factor in machine learning applications — Background Time series forecasting is usually a complex task because the structure of already univariate data often contains many unobserved factors. Standard models such as ARIMA, or filters, e.g. Kalman Filter are complex models that often need tweaking which requires a rigorous understanding of the underlying theory.Time Series Forecasting5 min readTime Series Forecasting5 min read
Published in Nerd For Tech·Apr 24, 2021Sample size and time series models — A case study on ARIMA() processes.Goals and contents ARIMA timeseries models are often taught in econometrics courses as part of the regular business science curriculum and are thus put to use by sometimes inexperienced data scientists. The intention of this case study is to understand the data generating process behind simple MA(1) models and illustrate weakness of the…Towards Data Science6 min readTowards Data Science6 min read
