Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.
I was thinking of training a neural network that would be able to classify twitter users according to their followers. For example, I would like to know if a user...
Asked on 12/06/2020 by Sharki
5 answerHow can I check in R after decomposing a time series if my residual component is IID noise? Would this be the best way (to use the autocorrelation function) and...
Asked on 12/05/2020 by mgr
4 answerI have historic sales data from a bakery (daily, over 3 years). Now I want to build a model to predict future sales (using features like weekday, weather variables, etc.)....
Asked on 12/04/2020 by tobip
5 answerSo I am currently building a model which does a certain type of action recognition, which I am implementing as a two-stage, end-to-end system. The first stage is a pose...
Asked on 12/04/2020 by tbizzy0808
1 answerI have shared the main data d2015.txt, includes 5 columns. The first column is the $y_t$ the time series observation. The 2nd to the 4th column is the...
Asked on 12/03/2020 by Bromideh
1 answerIf k raters are asked to rate the same set of objects on a continuous or Likert scale, there is the ICC3 for measuring the inter-rater agreement. Is there also...
Asked on 12/03/2020 by cdalitz
1 answerIn a random sample of 86 athletes participating in the 2012 Summer Olympics, 63 were found to have sponsorship by private companies. Based on this sample, conduct a hypothesis test...
Asked on 12/03/2020 by Arindam Bose
1 answerI am not able to formulate a more descriptive title. I have a population of five million people, I code it with R programming language:pop <- 5e641% of them...
Asked on 12/01/2020 by Alessandro Jacopson
1 answerI'd like to train a Logistic Regression model to rank items (point-wise) for customers. Ideally, I would rank higher those items that have a high probability of being purchased and...
Asked on 12/01/2020 by Marsellus Wallace
0 answerI need a generalisable way to to calculate $R^2$ from given regression estimates (regression coefficients, variances of variables, covariances between variables, residual variance of the response variable). Detailed problem...
Asked on 12/01/2020 by phx
0 answerGet help from others!
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