IBM SPSS Modeler vs. pandas
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 IBM SPSS Modeler | Score7.1 out of 10 | N/A | IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. | $499 per month |
 pandas | Score10 out of 10 | N/A | pandas is an open source, BSD-licensed library providing high-performance data structures and data analysis tools for the Python programming language. pandas is a Python package providing expressive data structures designed to make working with “relational” or “labeled” data both easier. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. | N/A |
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| Entry-level Setup Fee | Optional | No setup fee | ||||||||||||||
| Additional Details | IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact. | — | ||||||||||||||
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| Likelihood to Recommend | 7.0 | - |
| Usability | 8.0 | - |
| Support Rating | 10.0 | - |