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Web-based platform that helps businesses of any size streamline data mining process to develop descriptive and predictive models using structured algorithms and visual assessment or validation metrics
Mid to large scale businesses building enterprise-grade data science, machine learning, and AI models and tools, such as churn prediction models and on-prem LLMs.
One of the best analytics tools in the market and very user friendly. I particularly loved the flexibility and availability of a variety of model selections.
Really difficult to use, difficult to navigate, and GUI needs to be updated as well as the product documentation.
The software is amazing that it can produce such advanced models with a very simple user interface. The benefits I saw was more accurate forecasts in a quarter of the time to set up models.
It's a pain to transfer between programs when I've done everything else in SAS to produce the graphics elsewhere. Also, data management in SAS is notoriously underwhelming.
It has an amazing simple to use user interface,compares different models and gives you the best working model within the set data parameters.
It is very very expensive and difficult to obtain, especially for a student. Probably so even for a small company.
The most amazing thing about the software is the graphic design and the speed of processing. Moreover it allows us to change the data whenever we want to instead of rewriting the data.
It's not always clear where one should go when something goes wrong. Making changes to processes that others have made, and didn't document properly, can be a real cause of consternation.
It's a very good Python distribution with all the required library installed with it for Data Science, which make it convenient to use. Jupyter notebook feature is amazing.
If this is the case, I would very very like to know why that crash happened. Deleting an environment may lead some problems.
Along with Python, it supports many other popular language like R. Community support is great.
It is a bit difficult to use at the beginning.
I have used it for a while now and I am very much pleased with its functionality. The fact that is is actively supported and updated is another plus for me.
I dislike the idea that it has slow start-up time. It is noteworthy to say that it is not a major issue but never the less.
This is a great tool for data scientists and developers. Anaconda platform includes system that includes popular programming languages, libraries, and tools such as Jupyter Notebook, R, and Orange.
Performance adjustment is really required for users which use low end systems, especially lower RAM amounts.
SAS Enterprise Miner
Anaconda
Top FeaturesSAS Enterprise Miner
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Anaconda
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