When assessing the two solutions, reviewers found machine-learning in Python easier to use, set up, and administer. Reviewers also preferred doing business with machine-learning in Python overall.
SPSS Modeler combines enterprise level analytical power and flexibility with incredible usability. Not only does the tool feature both well known and widely used classifiers and algorithms, but offers the user an array of powerful proprietary options...
Somewhat expensive considering other options and overall value. More difficult to use than SPSS base etc., manuals etc not user friendly, desk top version at least does not run to well with even slightly larger data sets and can crash. Claims to be able to...
The last and more advanced models for machine learning are available in python. This allows you to perform up-to-date experiments. There are a lot of tutorials for using machine learning with python and the most modern systems use it. If I have any problem...
Sometimes the code is incomplete and therefore the project remains incomplete.
SPSS Modeler combines enterprise level analytical power and flexibility with incredible usability. Not only does the tool feature both well known and widely used classifiers and algorithms, but offers the user an array of powerful proprietary options...
The last and more advanced models for machine learning are available in python. This allows you to perform up-to-date experiments. There are a lot of tutorials for using machine learning with python and the most modern systems use it. If I have any problem...
Somewhat expensive considering other options and overall value. More difficult to use than SPSS base etc., manuals etc not user friendly, desk top version at least does not run to well with even slightly larger data sets and can crash. Claims to be able to...
Sometimes the code is incomplete and therefore the project remains incomplete.