Machine Learning Data Preparation Snap Pack

Snaps to prepare data for machine learning operations.

Overview

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:

Categorical to Numeric: Convert categorical data to numeric and vice versa.
Date Time Extractor: Extract datetime components.
Scale: Scale/transform data.
Type Converter: Convert datatypes.
Sample: Generate samples from a dataset.
Shuffle: Randomly shuffle the order of documents in a dataset.
Clean Missing Values: Handle missing values in a dataset.
Principal Component Analysis: Perform Principal Component Analysis (PCA) on an input document.
Feature Synthesis: Create features out of multiple datasets that share a one-to-one or one-to-many relationship with each other.
Match: Identify matched records across datasets.
Mask: Mask sensitive information in your dataset before exporting the dataset for analytics.