Hi @jaezone The selection of the model depends on the kind of the data you have. Generally you can use AutoModel to see at the same time how many models work on your data. If you work only with operators, if you check there are categories about the kind of modeling you want. If you can tell the kind of data you have, it would be very helpful. Hope it helps.
Do you want to visualize your raw data? If this data is high dimensional (more than three columns/attributes), you can use t-SNE method to visualize the raw data in low dimensional space (2 or 3 dimension). This will help you understand if there are any patterns in your data.
One other method is to use regular clustering methods to see how the data is divided into clusters, if there are no output labels in your data.
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Answers
The selection of the model depends on the kind of the data you have.
Generally you can use AutoModel to see at the same time how many models work on your data.
If you work only with operators, if you check there are categories about the kind of modeling you want.
If you can tell the kind of data you have, it would be very helpful.
Hope it helps.
Do you want to visualize your raw data? If this data is high dimensional (more than three columns/attributes), you can use t-SNE method to visualize the raw data in low dimensional space (2 or 3 dimension). This will help you understand if there are any patterns in your data.
One other method is to use regular clustering methods to see how the data is divided into clusters, if there are no output labels in your data.
Please inform if you need more information.
Varun
https://www.varunmandalapu.com/
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