made corrections #218
Merged
made corrections #218
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- properly divided columns as categorical and numerical - treated erroneous values in GPA_normal
treated missing values before modelling phase
Sammybams
approved these changes
Oct 20, 2023
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Thank you very much @awojidetola for your contributions. We would like to recommend that deep learning is not a suitable approach for this kind of problem as it doesn't have a lot of data points. Except the data is getting to more like large tens of thousands and more.
So you can try out other traditional machine learning algorithms like random forest, xgboost. etc. Also for your plots of predicted vs actual, it would be nice to put them in a table for proper comparison. The scatter plot you have made is not a proper representation and hence can not be easily interpreted by a non-technical person.
We would also appreciate more analytics and inference generated from exploring the dataset. Thank you.
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