It is very easy to train model across multiple algorithms and it will save time for sure. Review collected by and hosted on G2.com.
Nothing to dislike makes my job easier. Review collected by and hosted on G2.com.
It is very easy to train model across multiple algorithms and it will save time for sure. Review collected by and hosted on G2.com.
Nothing to dislike makes my job easier. Review collected by and hosted on G2.com.

It is very time saving and provides accurate results Review collected by and hosted on G2.com.
It is slower when compared to other similar services available Review collected by and hosted on G2.com.

The way that auto ML works by managing data in tabular forms which improves efficiency in available hardware configurations Review collected by and hosted on G2.com.
It needs some better processing power i.e. Better hardware Review collected by and hosted on G2.com.
Machine learning on tabular data is awesome. Helps to learn and analyze various data structural aspects as well with variety of easy learning features. Review collected by and hosted on G2.com.
Nothing as such that is considered as dislikable part as MLJAR is concern. Review collected by and hosted on G2.com.
MLJAR is the best in the industry for creating no code ML scripts and notebooks. Its integration with Jupyter notebook is also very efficient. Review collected by and hosted on G2.com.
The ability to switch between beginner and professional mode to adapt to some heavy tweaking could further be improved. It is definitely a novel approach and looking forward to more developments. Review collected by and hosted on G2.com.
How it can ease up the process of machine learning on a tabular data Review collected by and hosted on G2.com.
It could be more efficient if it had inbuilt support of execution like numba Review collected by and hosted on G2.com.
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