Wednesday, May 28th
One common data problem: what are the best strategies with data when we are missing information? Included are some documentation, labs, and approaches to the problem, though ultimately it will always come down to what data you are working with!
| Title | Author | Type | Length |
|---|---|---|---|
| Missing Data Imputation | Columbia | Textbook | 15 pages |
| sklearn doc | Scikit-learn | Documentation | --- |
| Wikipedia: Imputation | imputation | --- | --- |
| What is Multiple Imputation | Penn State University | web page | --- |
| Pandas Missing Data, Interpolation | Pandas | documentation | --- |
Boston Housing: Replacing Actual Data with Imputation Give Me Some Credit: Kaggle, KNN Imputation