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Corporate users & researchers in any field of expertise where data is an important source of information; statistics professors aiming at illustrating their programs with user-friendly software.
Open-source machine learning solution for enterprises that helps businesses by managing digital advertising, claims management, fraud detection, advanced analytics, and more.
XLSTAT has a range of depth of functionality even in its Basic version which is outstanding and the fact that it sits happily on top of EXCEL makes it a winner as far as I am concerned.
When downloading it or updating to a newer version, it sometimes will not directly work, it sometimes has errors and even if uninstalled and installed again, my have the same error.
Good experience with the free trial so I bought a license. Customer service was great when I reached out to them with questions.
I have not experienced any things about this software that were negative.
Of the available options XLSTAT looked to me to be the best marriage of functionality, robust calculations and ease of use.
But later it started happening when at least one other xls file is opened (which is kinda ridiculous).
XLSTAT helps me to get the most out of my client's data with peace of mind that the analyses are done properly and that the conclusions are reliable.
Sometimes the difficult in reinstall the old versions in other computers.
The major benefit of the product in the AutoMl. It's really useful when you are trying to optimize the parameters.
Lack of management and no accountability. It's hectic and unorganized to the point where you'll have no idea what you're doing, and what you should be doing.
It is really fast and run on really low memory like 2 GB. I have learn lotta new information about ML and deep learning thanks to H2O's help buttons.
Programmatically using the software is difficult because the documentation is lacking and it is hard to find the documentation that they do have.
Most of the ML algorithms are supported and available to use. It's easy to launch H2O from R and it noticeably increases the speed of algorithms and reduces time.
Notebook has its own shortcomings, which some operations seem less convenient. For instance, if the error output is too lengthy, I have to scroll all the way up to get where I need edit the code.
Notebook's nature of keeping things in one place. Some nice build-in features to interact with different data resources.
There is no feature engineering. Depending on your data size, H2O.AI can take up lots of memory.
Henri: My name is Henri and I work as a analytics market manager for an IT services company specializing in experience management studies. I give a four out of five to XLSTAT. So before using XLSTAT, we were very much involved with Excel itself, using it to the extreme, and we selected XLSTAT because we needed additional advanced statistical functions to perform the task on our data from experience management studies. We use XLSTAT because it was very compatible with Excel and all of our data was in Excel. We also found it very easy to use and the support was very appreciated with good tutorials and a wealth of videos and PDF documents covering the various use cases. The first project we started on XLSTAT was a bit of a pain because we're not trained enough on the [inaudible 00:01:21], on the configuration of the functions. But after a while, we mastered the various functionalities and the second project went very smoothly. What we learned from using XLSTAT is that you really needed to know a lot about your data and the structure of your data. Once you've covered that piece, you had to select the right modeling functions or statistical functions and use them appropriately to develop the solution for your data analysis project.
XLSTAT
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