Started this discussion. Last reply by Hemanth Kumar Mar 15. 6 Replies 0 Likes

Hi ,I am forecasting sales and the Investment needed. I need to modify the algorithm to limit the budget to a specified number and forecast sales based on that.I am currently using a Linear…Continue

Tags: #LinearRegression, #r

Started this discussion. Last reply by Sayan Nandy Feb 21. 1 Reply 0 Likes

Hi,I am trying to identify the best model for Recommending Trade Promotions for CPG companies using R . One option is to do a Liner regression to forecast sales for past data and the add the actual…Continue

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Hemanth Kumar replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Hi Vincent ,Wayne and Danylo,
Thanks for your replies. Well I am new to Machine Learning and based on what i have learnt i felt it was a regression problem.
Let me define the problem statement a little more clear and illustrate with data. It would…"

Mar 15

Danylo Zherebetskyy replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Hi Hemanth,
General answer: feature engineering is one of the key components of good performance within shallow algorithms field.
More specific: for restricting any value, one of the classical approaches is to alter the problem from MAX to…"

Mar 13

Wayne G. Fischer, PhD replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Or, is this really a Linear Programming problem? Wanting to maximize total sales across countries, constrained by the total budget to be allocated across those countries?"

Mar 12

Vincent Granville replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Typical constrained regression models include ridge regression and Lasso regression, but they put constraints on the regression coefficients, and I don't think that's what you try to do here. If I understand correctly, you try to predict S…"

Mar 9

Hemanth Kumar replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Hi Tim, Thanks for the reply. Let me summarize what I am trying to do.
Based on the Budget Allocated I should be able to predict sales.
Statement 1 : I am able to predict sales based on liner regression but now I want to put in a constraint…"

Mar 8

Tim Matteson replied to Hemanth Kumar's discussion Constraint in a Linear Regression Algorithm

"Hello Hemanth,
It's unclear to me what your question is. Can you please be more specific?
Thanks"

Mar 7

Hemanth Kumar's discussion was featured### Constraint in a Linear Regression Algorithm

Hi ,I am forecasting sales and the Investment needed. I need to modify the algorithm to limit the budget to a specified number and forecast sales based on that.I am currently using a Linear Regression algorithm in R.Thanks for the help.HemanthSee More

Mar 7

Hemanth Kumar posted a discussion### Constraint in a Linear Regression Algorithm

Hi ,I am forecasting sales and the Investment needed. I need to modify the algorithm to limit the budget to a specified number and forecast sales based on that.I am currently using a Linear Regression algorithm in R.Thanks for the help.HemanthSee More

Mar 7

Sayan Nandy replied to Hemanth Kumar's discussion Best Model to recommend Trade Promotions

"You can use Multivariate Time series.."

Feb 21

Hemanth Kumar's discussion was featured### Best Model to recommend Trade Promotions

Hi,I am trying to identify the best model for Recommending Trade Promotions for CPG companies using R . One option is to do a Liner regression to forecast sales for past data and the add the actual sales based on promotions to calculate uplift and then forecast which is the one which gives the best uplift.But I am assuming there is a better way to do this when we add variables like weather, promotion displays etc.. any suggestions or pointers as to which model would be the best…See More

Dec 26, 2017

Hemanth Kumar posted a discussion### Best Model to recommend Trade Promotions

Hi,I am trying to identify the best model for Recommending Trade Promotions for CPG companies using R . One option is to do a Liner regression to forecast sales for past data and the add the actual sales based on promotions to calculate uplift and then forecast which is the one which gives the best uplift.But I am assuming there is a better way to do this when we add variables like weather, promotion displays etc.. any suggestions or pointers as to which model would be the best…See More

Dec 26, 2017

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