Frida KarvouniinTowards Data ScienceExplaining Complex Models to Business StakeholdersExplaining a LightGBM modelApr 301Apr 301
Frida KarvouniinTowards Data ScienceDecoding Time: Unraveling the Power of LSTM vs. N-BEATS for Accurate Time Series ForecastingComparing how two deep learning models fit seasonalityApr 19Apr 19
Frida KarvouniFeedback is your best friend: how to excelFeedback and self-reflection are your best friends. They are great tools in your journey to excel. Dec 2, 2023Dec 2, 2023
Frida KarvouniinAH TechnologyTime-series as a signal: Fast Fourier transform to decompose seasonalityThe easiest way to model seasonality is by using seasonal dummies. A more scientific method is to apply Fast Fourier Transform (FFT).Feb 24, 20231Feb 24, 20231
Frida KarvouniinAH TechnologyIntrinsically interpretable models: explaining a linear regression modelA linear regression model is intrinsically interpretable. It is straightforward to calculate the marginal contribution of its features.Aug 30, 2022Aug 30, 2022
Frida KarvouniinAH TechnologyApplying PC and DirectLiNGAM for Causal DiscoveryCausal structure can be identified in observational data by causal discovery methods, such as PC and DirectLiNGAM — which should you use?Mar 14, 2022Mar 14, 2022
Frida KarvouniinAH TechnologyInteraction effects in linear regressionWhen a promotion at Albert Heijn is planned, it is expected that the product sells more than in a normal week. How much more depends on a…Jan 11, 2022Jan 11, 2022