PinnedHaden PelletierinTowards Data ScienceHow to: Handle Missing Data for Time SeriesShould you drop, interpolate, or impute?May 254May 254
PinnedHaden PelletierinTowards Data ScienceYour First Year as a Data Scientist: A Survival Guide5 tips I would’ve hugely benefitted from as a beginnerMay 10May 10
PinnedHaden PelletierinTowards Data ScienceCyclical Encoding: An Alternative to One-Hot Encoding for Time Series FeaturesCyclical encoding provides your model with the same information using significantly fewer featuresMay 33May 33
PinnedHaden PelletierinTowards Data Science3 Ways to Think Like a (Great) Data ScientistTake your career to the next level by thinking betterFeb 225Feb 225
Haden PelletierWhat is Model Decay?Data drift, concept drift, and how model performance decreases over timeApr 26Apr 26
Haden PelletierDon’t Make This Data Science Programming MistakeHow I messed up so you don’t have toApr 18Apr 18
Haden PelletierinTowards Data ScienceTrack Your ML ExperimentsA guide to Neptune for tracking your machine learning experiments in PythonMar 29Mar 29
Haden PelletierinTowards Data ScienceBaseline Models in Time SeriesWhy (and how) you should create a baseline model before you train your final modelMar 71Mar 71