how can I use date variable while building the model?
Please find github link for data set and its info.
I'm working on some bank data set where I need predict the customers who are willing to take the loan(Classification). Can I drop that date column or I need to consider that?
machine-learning
|
show 6 more comments
Please find github link for data set and its info.
I'm working on some bank data set where I need predict the customers who are willing to take the loan(Classification). Can I drop that date column or I need to consider that?
machine-learning
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52
|
show 6 more comments
Please find github link for data set and its info.
I'm working on some bank data set where I need predict the customers who are willing to take the loan(Classification). Can I drop that date column or I need to consider that?
machine-learning
Please find github link for data set and its info.
I'm working on some bank data set where I need predict the customers who are willing to take the loan(Classification). Can I drop that date column or I need to consider that?
machine-learning
machine-learning
edited Dec 28 '18 at 8:54
Tharun Audhimoolam
asked Dec 28 '18 at 7:31
Tharun AudhimoolamTharun Audhimoolam
11
11
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52
|
show 6 more comments
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52
|
show 6 more comments
1 Answer
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M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column
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M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column
add a comment |
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column
add a comment |
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column
M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column
answered Dec 28 '18 at 7:42
Ankur GoelAnkur Goel
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M not sure what type of dates you are referring to, e.g. The date column would make sense if its a Birth Date of the customer, as taking a loan would depend on the person age as well which is conveyed by its birth date. So simply asking should i drop date columns does not make sense. In ML it is always important to consider the context related to column.
– Ankur Goel
Dec 28 '18 at 7:37
If it is other(date of taking loan, date of joining) than birth date, then it would not help predicting your model.
– Prateek Aggarwal
Dec 28 '18 at 7:43
That part also you can not say for sure, consider the following feature/learning that your model can derive with date of loan taking and birth date, using these two feature in combined, the model can learn that at what age people prefer to take loan which it could not learn if date of taking loan is not present
– Ankur Goel
Dec 28 '18 at 7:46
It's not customer DOB. It's customer account open date.
– Tharun Audhimoolam
Dec 28 '18 at 7:50
Dates are in below format 3/23/2005 10/11/2008 4/26/2012 7/4/2008 12/29/2001 6/7/2001
– Tharun Audhimoolam
Dec 28 '18 at 7:52