MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack.
Sebastian RaschkaPublished in: J. Open Source Softw. (2018)
Keyphrases
- scientific computing
- data science
- machine learning
- statistical learning
- big data
- high performance computing
- file system
- highly parallel
- computer systems
- data mining
- workflow management
- efficient implementation
- massively parallel
- text mining
- databases
- information theory
- model selection
- information systems
- computing systems
- knowledge acquisition
- pairwise
- learning algorithm
- information technology