PinnedHuey Fern TayinTowards Data ScienceUsing R’s simputation to handle missing valuesHoles in our dataset can be solved by making intelligent inferences from a linear modelJul 25, 20211Jul 25, 20211
Huey Fern TayincodinginrDetecting multicollinearity — it’s not that easy sometimesBy Huey Fern TayJan 12, 2022Jan 12, 2022
Huey Fern TayinCodeXHow to analyze the NAs in multiple response surveysBy Huey Fern Tay, With Greg PageJan 6, 2022Jan 6, 2022
Huey Fern TayinNerd For Tech5 things I learned by analysing Kaggle’s 2020 Machine Learning and Data Science SurveyBy Huey Fern TayNov 18, 2021Nov 18, 2021
Huey Fern TayinTowards Data ScienceA Little-Known Trick in Hierarchical Clustering: WeightsRecalibrate your dataset to answer a business questionOct 4, 20212Oct 4, 20212
Huey Fern TayinTowards Data ScienceWhen is it ok to impute missing values with a zero?Substituting missing data with a zero can sometimes be justifiedAug 11, 20211Aug 11, 20211
Huey Fern TayinTowards Data ScienceSubstituting missing data with the group average — why it’s good to be cautiousBy Huey Fern TayJul 9, 2021Jul 9, 2021
Huey Fern TayinTowards Data ScienceWhen a crazy wind wipes away our records — what do you do?By Huey Fern TayJul 3, 2021Jul 3, 2021