@train.bi wrote:
Hi
An advertising company wants to predict the likelihood of purchase, using a training data set containing hundreds of columns of demographic data such as age, location, and income. The large dimensionality of this data set poses a problem for training the model, and no features that represent broader groups of people are available. What would be a reasonable approach to reduce the dimensionality of the training data?
Regards,
tony
Posts: 1
Participants: 1