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Regression With Multiple Groups in a Dataset

I am trying to predict grocery store sales from the number of cars in the parking lot. I have a dataset of around 400 stores, over two years, with a count of the number of cars in the lot at the same ...
edutt's user avatar
  • 11
1 vote
0 answers
131 views

What type of algorithm should I use to analyse questionnaires answers?

Let's say I have a questionnaire, part of it are multiple-choice answers. The person answering may answer (a), (b) or (c) for the first question, then (a), (b), (c), (d), (e) or (f) for the second ...
Dumb ML's user avatar
  • 217
1 vote
2 answers
562 views

Predict duration of tasks with clustering and regression combined in Python

I am trying to predict the length of time (not a time series!) a work task takes, especially technical changes. The output should be a prediction of the duration the task will take in days. As input I ...
lambkin's user avatar
  • 31
1 vote
2 answers
674 views

Is it a good idea to cluster predictor variables to try an improve classification performance with logistic regression?

I have trained a logistic regression model on on a selection of 10 socio-demographic predictor variables, all of which are categorical, in order to predict customer behavior on an outcome measure. Out ...
pd441's user avatar
  • 448
2 votes
0 answers
275 views

Inference with Mixture of Linear Regression

I have used an EM algorithm to fit a finite mixture of linear regression to my data, and cluster them into $k$ clusters. Now that I have my clusters with the estimated parameters $\beta_k$ and $\...
H_A's user avatar
  • 263