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Best algorithm with multiple variables
How to plot multiple variables with Pandas and BokehReplacing the feature variables with encoded variablesSVM with multiple featuresError with functionPlotting in Multiple Linear Regression in Python 3How to train ML model with multiple variables?How to re-initialise batch sampling with pytorch dataloader?Setting up fuzzy rules for more multiple input variablesSaving multiple numpy arrays to multiple image filesHow to retain dependency between variables in PyTorch?
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I am new to data science and have my hands full with the current scenario:
Say we have a production line and want to find the optimized combination of speeds to run the equipment, with 3 different machine speeds that we are tracking. These speeds change slightly but they have a large effect on how they interact with the machines up and downstream from each other.
My two dependent variables are waste and finished cases. I will be looking for a target that meets a minimum production requirement while giving the optimal waste:cases ratio. I am also tracking line uptime to exclude outliers from the data.
I am looking for a recommendation of an algorithm(s) to use that will help me reach my optimization goals.
python numpy pytorch
New contributor
$endgroup$
add a comment |
$begingroup$
I am new to data science and have my hands full with the current scenario:
Say we have a production line and want to find the optimized combination of speeds to run the equipment, with 3 different machine speeds that we are tracking. These speeds change slightly but they have a large effect on how they interact with the machines up and downstream from each other.
My two dependent variables are waste and finished cases. I will be looking for a target that meets a minimum production requirement while giving the optimal waste:cases ratio. I am also tracking line uptime to exclude outliers from the data.
I am looking for a recommendation of an algorithm(s) to use that will help me reach my optimization goals.
python numpy pytorch
New contributor
$endgroup$
add a comment |
$begingroup$
I am new to data science and have my hands full with the current scenario:
Say we have a production line and want to find the optimized combination of speeds to run the equipment, with 3 different machine speeds that we are tracking. These speeds change slightly but they have a large effect on how they interact with the machines up and downstream from each other.
My two dependent variables are waste and finished cases. I will be looking for a target that meets a minimum production requirement while giving the optimal waste:cases ratio. I am also tracking line uptime to exclude outliers from the data.
I am looking for a recommendation of an algorithm(s) to use that will help me reach my optimization goals.
python numpy pytorch
New contributor
$endgroup$
I am new to data science and have my hands full with the current scenario:
Say we have a production line and want to find the optimized combination of speeds to run the equipment, with 3 different machine speeds that we are tracking. These speeds change slightly but they have a large effect on how they interact with the machines up and downstream from each other.
My two dependent variables are waste and finished cases. I will be looking for a target that meets a minimum production requirement while giving the optimal waste:cases ratio. I am also tracking line uptime to exclude outliers from the data.
I am looking for a recommendation of an algorithm(s) to use that will help me reach my optimization goals.
python numpy pytorch
python numpy pytorch
New contributor
New contributor
New contributor
asked 40 mins ago
RobLowryRobLowry
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