About this document

Data Science Preprocessing Techniques by hsaleem is a document available to read on EtoBox.

The document discusses various topics related to data preprocessing for data science, including: 1) Different types of data sets like records, documents, graphs, and ordered/temporal data. 2) The concept of data objects and attributes that make up datasets. 3) Common data quality issues like noise, missing values, duplicates that must be addressed during preprocessing. 4) The importance of data preprocessing to produce clean, consistent data needed for high-quality data mining and analysis.

Author

hsaleem

Language

EN