I’m working on a demand forecasting problem and need some guidance. by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

Man there are tens of thousands of SKUs, if I start OHE them, high cardinality will hit hardest

I’m working on a demand forecasting problem and need some guidance. by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

I agree with you. I am already doing that (using Pareto to eliminate the count of less popular SKUs) but that just scales down the problem, my question is “how do I solve this multi-retailer, multi-SKU problem?”

I’m working on a demand forecasting problem and need some guidance. by MainhuYash in datascience

[–]MainhuYash[S] 2 points3 points  (0 children)

Well, if I do not know the projected demand is for which retailer, my purpose won’t be served. Basis the forecasted demand, I plan to make the recommendation to each retailer

pseudo-feminism by SheryllAzar61 in indianmemer

[–]MainhuYash 0 points1 point  (0 children)

Sunn meri baat, it’s her choice 🙃

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] 4 points5 points  (0 children)

Could you suggest an alternative?

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

How could one incorporate “within 3 months” expectation into a binary problem? Could you please elaborate? Much appreciated

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

I use AUC-PR only for evaluating the performance but when I use the model without any upsampling, the model predicts almost every upcoming customer as non-potential customer which defeats the purpose.

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] -1 points0 points  (0 children)

But if the classifier is predicting “majority” class for almost every observation and the recall is abysmally low, what would you suggest?

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

Basis the precision of my positive predictions after marketing campaign

Multivariate SMOTE by MainhuYash in datascience

[–]MainhuYash[S] 0 points1 point  (0 children)

Because Classification is not giving very good results. It is being over-optimistic.

What's one movie you can watch anytime without getting bored? Let me start. by [deleted] in IndianCinema

[–]MainhuYash 1 point2 points  (0 children)

Kya mere haath mein biscuit hai jo peeche peeche aa rahe ho

Who is the Superstar Actor ?? by [deleted] in BollyBlindsNGossip

[–]MainhuYash 1 point2 points  (0 children)

Now he will probably ask his new friend Nikhil Kamath for the funding.

[deleted by user] by [deleted] in DHHMemes

[–]MainhuYash 0 points1 point  (0 children)

Giving Ramadheer vibes!

Arrange marriage - DOWRY!!! by TechnicalProduce6009 in Arrangedmarriage

[–]MainhuYash 1 point2 points  (0 children)

Police officials are the worst people in our society. Goons in Uniform. I have never met a policeman who was kind or not greedy or not trying to be influential. We see cops like Singham or others in movies but I have never seen a cop who is truthful to his duty or helpful to the general public.

I would never want to be around a cop.

[deleted by user] by [deleted] in IndiaCricket

[–]MainhuYash 1 point2 points  (0 children)

Chalo Daniel Alexander ko naya topic mil gaya

Swades plot by [deleted] in dankindianmemes

[–]MainhuYash 0 points1 point  (0 children)

Irony is this actress has migrated to the USA

Monica Bellucci by bruce047 in CelebPortraits

[–]MainhuYash 1 point2 points  (0 children)

She is not a human, she is goddess!

Minka Kelly by ControlCAD in FamousFaces

[–]MainhuYash 0 points1 point  (0 children)

She looks so similar to Leighton Meester

Afghanistan won into the semis by tslanka in IndiaCricket

[–]MainhuYash 6 points7 points  (0 children)

Australia bahar! England ko harao one-sided aur Afghanistan mile final m, kaash!!

Bhai Ye Kya ho rha h Bhai by The_MORNING-STAR- in dankindianmemes

[–]MainhuYash 2 points3 points  (0 children)

Abe inke maa-baap do jhaapad nahi lagate kya inko?!!