Predicting for future date
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How do I predict a category of data for a future date ?
Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a particular product and product category?
which model will be the best for these kind of problem ?
machine-learning data-science-model
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
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Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
How do I predict a category of data for a future date ?
Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a particular product and product category?
which model will be the best for these kind of problem ?
machine-learning data-science-model
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
New contributor
Balasubrahmanyam Ira 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 |
$begingroup$
How do I predict a category of data for a future date ?
Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a particular product and product category?
which model will be the best for these kind of problem ?
machine-learning data-science-model
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
How do I predict a category of data for a future date ?
Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a particular product and product category?
which model will be the best for these kind of problem ?
machine-learning data-science-model
machine-learning data-science-model
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
asked 6 hours ago
Balasubrahmanyam IraBalasubrahmanyam Ira
11
11
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Balasubrahmanyam Ira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Balasubrahmanyam Ira 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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1 Answer
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Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0.
Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
answered 6 hours ago
karthikeyankarthikeyan
12
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1 Answer
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active
oldest
votes
1 Answer
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active
oldest
votes
active
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active
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votes
$begingroup$
Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0.
Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
answered 6 hours ago
karthikeyankarthikeyan
12
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add a comment |
$begingroup$
Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0.
Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
answered 6 hours ago
karthikeyankarthikeyan
12
$endgroup$
add a comment |
$begingroup$
Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0.
Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
answered 6 hours ago
karthikeyankarthikeyan
12
$endgroup$
Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0.
Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
answered 6 hours ago
karthikeyankarthikeyan
12
answered 6 hours ago
karthikeyankarthikeyan
12
answered 6 hours ago
karthikeyankarthikeyan
12
answered 6 hours ago
karthikeyankarthikeyan
12
12
add a comment |
add a comment |
Balasubrahmanyam Ira is a new contributor. Be nice, and check out our Code of Conduct.
Balasubrahmanyam Ira is a new contributor. Be nice, and check out our Code of Conduct.
Balasubrahmanyam Ira is a new contributor. Be nice, and check out our Code of Conduct.
Balasubrahmanyam Ira is a new contributor. Be nice, and check out our Code of Conduct.
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