ML Data Preparation Snap Pack is a part of SnapLogic Data Science (Machine Learning) Snaps. The Snaps in this Snap Pack are useful in preparing the data upon which machine learning operations are to be performed. Use Snaps in this Snap Pack to:
- Convert categorical data to numeric and vise versa.
- Extract datetime components.
- Scale/transform data.
- Convert datatypes.
- Generate samples from a dataset.
- Randomly shuffle the order of documents in a dataset.
- Handle missing values in a dataset.
- Perform Principal Component Analysis (PCA) on an input document.
- Create features out of multiple datasets that share a one-to-one or one-to-many relationship with each other.
- Identify matched records across datasets.
- Mask sensitive information in your dataset before exporting the dataset for analytics.
In this Section