Should one normalize the frequency values when feeding it as an input to machine learning model?
$begingroup$
Consider an unsupervised data. The data is in the form of a csv file( I am using pandas dataframe for this). Its a web page data at different time steps and the way I am converting data to be fed to my model(K-means) is by taking difference of the time steps of the current web-Page ID load to next web_page ID load.
Now, there are some features in the data like "scroll" (which represents a human scrolling on that webpage) which is occurring multiple times for the same web page ID. Since I am only using delta the way I want to encode this "scroll" as a feature is how many times it happened between the delta(time difference). This gives the frequency.
Now the question is should I do some processing on this raw frequency I calculated, or can I directly feed it to my model. In case more processing is needed, what do you suggest?
machine-learning python normalization
asked 7 hours ago
HeisenbugHeisenbug
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$begingroup$
Consider an unsupervised data. The data is in the form of a csv file( I am using pandas dataframe for this). Its a web page data at different time steps and the way I am converting data to be fed to my model(K-means) is by taking difference of the time steps of the current web-Page ID load to next web_page ID load.
Now, there are some features in the data like "scroll" (which represents a human scrolling on that webpage) which is occurring multiple times for the same web page ID. Since I am only using delta the way I want to encode this "scroll" as a feature is how many times it happened between the delta(time difference). This gives the frequency.
Now the question is should I do some processing on this raw frequency I calculated, or can I directly feed it to my model. In case more processing is needed, what do you suggest?
machine-learning python normalization
asked 7 hours ago
HeisenbugHeisenbug
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Consider an unsupervised data. The data is in the form of a csv file( I am using pandas dataframe for this). Its a web page data at different time steps and the way I am converting data to be fed to my model(K-means) is by taking difference of the time steps of the current web-Page ID load to next web_page ID load.
Now, there are some features in the data like "scroll" (which represents a human scrolling on that webpage) which is occurring multiple times for the same web page ID. Since I am only using delta the way I want to encode this "scroll" as a feature is how many times it happened between the delta(time difference). This gives the frequency.
Now the question is should I do some processing on this raw frequency I calculated, or can I directly feed it to my model. In case more processing is needed, what do you suggest?
machine-learning python normalization
asked 7 hours ago
HeisenbugHeisenbug
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Consider an unsupervised data. The data is in the form of a csv file( I am using pandas dataframe for this). Its a web page data at different time steps and the way I am converting data to be fed to my model(K-means) is by taking difference of the time steps of the current web-Page ID load to next web_page ID load.
Now, there are some features in the data like "scroll" (which represents a human scrolling on that webpage) which is occurring multiple times for the same web page ID. Since I am only using delta the way I want to encode this "scroll" as a feature is how many times it happened between the delta(time difference). This gives the frequency.
Now the question is should I do some processing on this raw frequency I calculated, or can I directly feed it to my model. In case more processing is needed, what do you suggest?
machine-learning python normalization
machine-learning python normalization
asked 7 hours ago
HeisenbugHeisenbug
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 hours ago
HeisenbugHeisenbug
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 hours ago
HeisenbugHeisenbug
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 hours ago
HeisenbugHeisenbug
111
asked 7 hours ago
HeisenbugHeisenbug
111
111
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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