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Is it possible to build a propensity model (i.e., the likelihood that a user will buy an item) using only positive values. For example, I have a bunch of data...
Asked on 11/18/2021
1 answerIf I have a dataset in a csv that looks like the one shown below. How do I convert this into a laplacian matrix using Python? ...
Asked on 11/17/2021
2 answerA single non activated neuron is just a linear combination of its inputs. Thresholding this neuron's output as-is against 0 would create a hyperplane binary separator, whose parameters can be...
Asked on 11/17/2021
2 answerShort version:How can I find a function that maps X to Y when data looks like this. Note:For a...
Asked on 11/17/2021
1 answerI'm starting to study machine learning. All the examples I saw, the person that created the ML model used a random state or a random seed to stop the randomness...
Asked on 11/17/2021
3 answerI have the attached document. I've imported an xlxs document into R. I would like to get rid of all rows containing NA. I've tried the following...
Asked on 11/15/2021
3 answerI am working with typing data with timing features(unit: ms) and some of the features are based on the keyboard keyCodes(positive integers, range:[8, 222]). Currently, I use StandardScaler() by ...
Asked on 11/15/2021
1 answerThe tag feature-scaling seems to convey that one of the scaling methods is Standard Normal Distribution. Further, I read an Answer on this site saying that Mean Normalization is a...
Asked on 11/15/2021
1 answerI want to do a very simple cross validation using LogisticRegression.Here is my code:logreg = LogisticRegression(labelCol = "churn", featuresCol = "features") pipeline = Pipeline(stages = [logreg])paramGrid = ParamGridBuilder().addGrid(logreg.regParam,...
Asked on 11/13/2021 by Robse
1 answerI am trying to understand how you marginalise a joint distribution. In my case I have a fair coin, $P(C) = frac12$ and a fair dice $P(D)...
Asked on 11/13/2021
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