Applying Dimensionality Reduction with PCA to Cancer Data
Principal Component Analysis (PCA) is a powerful and well-established data transformation method that can be used for data visualization, dimensionality
Tag: transformations
Efficient Data Transformations Using the BigML API
As part of our release for Data Transformations, we have outlined both a use case and how to execute the
Preparing a Machine Learning-Ready Dataset for Market Basket Analysis
BigML Associations can help identify which pairs (or groups) of items occur together more frequently than expected. A typical use
Data Wrangling meets Machine Learning
Imagine a world, where a business expert can quickly generate actionable insights starting from raw data and ending up with powerful
