Hello Samira! Hope you are ok as well.
Well, first of all I´ll assume that the data is idoneous and that it has been properly cleansed, because it really is more important than the model itself.
And in regards to the model, in order to select it you should consider which features you will use and which is your target. Could you give us with more details about the data?
For example, if it is about prediction then you should first see if you want to predict a numerical value (e.g: a fatigue accumulation metric) or if you want to predict the classification of an outcome (e.g: whether an athlete got injured or not).
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[Marco] [Sánchez Sorondo]
[UBA]
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Original Message:
Sent: Fri August 07, 2020 06:26 AM
From: Samira Gholizadeh
Subject: Which types of ML works well in predictive modeling?
Dear all
Greetings
Hope you all are safe and healthy.
I would like to implement machine learning algorithms for my data which is about fatigue loading. Would you recommend which types of ML algorithms helps in this case the most? with obvious and complete predictive models.
Thanks
Cheers
Samira
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Samira Gholizadeh
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