How to group a data set based on the ranges?
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I have one year data of my daily consumption of food.
The sample data set is given as in the figure (basically its an .xlsx file).
I want to classify the daily calory into following categories using machine learning techniques:
- < 10 : Low
- 10-30 : medium
- 30- 50 : good diet
- 50-60 : heavy
- 60 < : bad diet
Can anybody suggest an approach? Also is it possible to visualize the categories?
dataset excel
New contributor
$endgroup$
add a comment |
$begingroup$
I have one year data of my daily consumption of food.
The sample data set is given as in the figure (basically its an .xlsx file).
I want to classify the daily calory into following categories using machine learning techniques:
- < 10 : Low
- 10-30 : medium
- 30- 50 : good diet
- 50-60 : heavy
- 60 < : bad diet
Can anybody suggest an approach? Also is it possible to visualize the categories?
dataset excel
New contributor
$endgroup$
1
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a fewIF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.
$endgroup$
– bradS
19 hours ago
$begingroup$
Is there any other column in your dataset?
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– pythinker
13 hours ago
add a comment |
$begingroup$
I have one year data of my daily consumption of food.
The sample data set is given as in the figure (basically its an .xlsx file).
I want to classify the daily calory into following categories using machine learning techniques:
- < 10 : Low
- 10-30 : medium
- 30- 50 : good diet
- 50-60 : heavy
- 60 < : bad diet
Can anybody suggest an approach? Also is it possible to visualize the categories?
dataset excel
New contributor
$endgroup$
I have one year data of my daily consumption of food.
The sample data set is given as in the figure (basically its an .xlsx file).
I want to classify the daily calory into following categories using machine learning techniques:
- < 10 : Low
- 10-30 : medium
- 30- 50 : good diet
- 50-60 : heavy
- 60 < : bad diet
Can anybody suggest an approach? Also is it possible to visualize the categories?
dataset excel
dataset excel
New contributor
New contributor
edited 9 mins ago
Anony-Mousse
5,165625
5,165625
New contributor
asked 22 hours ago
geethuthgeethuth
1
1
New contributor
New contributor
1
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a fewIF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.
$endgroup$
– bradS
19 hours ago
$begingroup$
Is there any other column in your dataset?
$endgroup$
– pythinker
13 hours ago
add a comment |
1
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a fewIF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.
$endgroup$
– bradS
19 hours ago
$begingroup$
Is there any other column in your dataset?
$endgroup$
– pythinker
13 hours ago
1
1
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a few
IF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.$endgroup$
– bradS
19 hours ago
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a few
IF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.$endgroup$
– bradS
19 hours ago
$begingroup$
Is there any other column in your dataset?
$endgroup$
– pythinker
13 hours ago
$begingroup$
Is there any other column in your dataset?
$endgroup$
– pythinker
13 hours ago
add a comment |
1 Answer
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$begingroup$
Use if statements.
Your thresholds are defined, not learned.
If calories < 10 then...
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add a comment |
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$begingroup$
Use if statements.
Your thresholds are defined, not learned.
If calories < 10 then...
$endgroup$
add a comment |
$begingroup$
Use if statements.
Your thresholds are defined, not learned.
If calories < 10 then...
$endgroup$
add a comment |
$begingroup$
Use if statements.
Your thresholds are defined, not learned.
If calories < 10 then...
$endgroup$
Use if statements.
Your thresholds are defined, not learned.
If calories < 10 then...
answered 9 mins ago
Anony-MousseAnony-Mousse
5,165625
5,165625
add a comment |
add a comment |
geethuth is a new contributor. Be nice, and check out our Code of Conduct.
geethuth is a new contributor. Be nice, and check out our Code of Conduct.
geethuth is a new contributor. Be nice, and check out our Code of Conduct.
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1
$begingroup$
The rule-based classification you're after is not machine learning - you can perform that in Excel using a few
IF
statements (you could also do visualisations in Excel). However, if you're looking to predict future daily calorie intakes - e.g. for every day in 2017 - then that could be a machine learning exercise.$endgroup$
– bradS
19 hours ago
$begingroup$
Is there any other column in your dataset?
$endgroup$
– pythinker
13 hours ago