Train Categorial data in Neural Network Model

I have a spread sheet containing categorial data . I would like to know which deep learning/Neural netwrok learnig algorithm is best for the training attachment and can help the predictors to the locating errors.

Thanks you!

Answer 1

[Gouri Chennuru]

Hi,

Refer to the information below,

1. If the xlsx file provided in the question is the only data you are working on, you can use any classification algorithms available in Statistics and machine learning toolbox
2. If you are also working with sequence and time series data, I recommend you to use Long Short-Term Memory Networks. A Time series data contains set of observations on the values that a variable takes at different times.
3. If in case you are working with large data set along with attached xlsx file, I recommend you to use any neural network in MATLAB.

Hope this helps!

[Life is Wonderful]

Thank you very much for suggestion and sharing the links.

Can you please help me with an example model with the attached data

• Input data trained with -example Naive Bayes Classifiers/Decision Tree
• Train the output and locate the error i.e. observed vs predicted

[Life is Wonderful]

Any feedback here ?

[Gouri Chennuru]

Refer to these examples

https://www.mathworks.com/help/stats/examples.html?category=classification-naive-bayes

https://www.mathworks.com/help/stats/examples.html?category=regression-trees

https://www.mathworks.com/help/deeplearning/ug/monitor-deep-learning-training-progress.html

Hope this helps !

[Life is Wonderful]

Thank you very much!