Course: Missing Data Handling: Imputation
in course jupyter-notebook platzi python tutorial missing-values eda
September 10, 2022
By detecting and exploring missing values in datasets, you can enrich them through data imputation. In this way, you can run analyses with better information. This course teaches you how to treat variables and run the appropriate imputation method for your data set.
- Use model-based imputation methods such as KNN and MICE.
- Implement donor-based imputation methods.
- Prepare categorical variables for imputation.
Details
- Posted on:
- September 10, 2022
- Length:
- 1 minute read, 61 words
- Categories:
- course jupyter-notebook platzi python tutorial missing-values eda