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'Large data' refers to situations where the number of observations (data points) is so large that it necessitates changes in the way the data analyst thinks about or conducts the analysis. (Not to be confused with 'high dimensionality'.)

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Is it a valid technique to exclude features based on occuring very rarely? Or would it be be...

I have a large sparse binary dataframe with codes from health data. The train columns are one-hot-encoded ICD Codes, OPS Codes, ATC Codes, and other covariates such as age etc. (scaled to be between …
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