About this document
Data Pre-processing with Weka Guide by ankit pandey is a document available to read on EtoBox.
The document discusses pre-processing techniques on a dataset using the Weka tool. It applies various filters like replacing missing values, reservoir sampling, random projection, and resampling. For replacing missing values, it edits the CPU dataset to add missing values and then uses the ReplaceMissingValues filter. It similarly demonstrates the effects of reservoir sampling, random projection, and resampling filters on the dataset. The purpose is to perform pre-processing tasks like handling missing data
- Author
- ankit pandey
- Language
- EN