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I want to model time series data of 52 dependent variable using neural networks in order to forecast these series in future . I have tried some architectures of LSTM...
Asked on 08/08/2021
1 answerWould you please let me know if I am committing a statistical or machine learning mal-practice in this procedure? I want to estimate meteorological variable y1 from ${x_1, ...,...
Asked on 08/08/2021
2 answerCan a deep learning model estimate parameters of an AR(n) process given a time series generated by such process? What kind of deep-learning model would you recommend? Note: I am...
Asked on 08/08/2021 by vasily
0 answerCurrently my employer has multiple GLM in a live environment. I am interested in identifying new features and interactions to enhance the accuracy of these GLM; for now I am...
Asked on 08/07/2021 by bradS
1 answerI have seen the different options to extract words from sentences in English but when I wanted to know if its possible to do the same thing in Hindi or...
Asked on 08/07/2021 by Sharan Iyer
1 answerWith a team of researchers we were given the assignment to make a scale for the move kindness (how inviting a room or place is for exercise--e.g., a gym). In...
Asked on 08/07/2021 by Lucas Crijns
1 answerI'm watching an SVM tutorial. At 6:38 he mentions lagrangian, which is a term I'm not familiar with. So I googled it, hoping to find the Wikipedia...
Asked on 08/07/2021
1 answerIs it correct to fill a pandas dataframe with NaN values? In specific: if I have a dataframe with a user name and his age is it ok to fill...
Asked on 08/07/2021 by Loretta
1 answerI am working on a classification problem with 0 and 1 class labels. I am wondering if I flip the class labels (i.e if I label all the formerly 0...
Asked on 08/07/2021 by user15733888
0 answerI trained a regression TPOT algorithm on Google Colab, where the output of the TPOT process is some boiler plate Python code as shown below.import numpy...
Asked on 08/07/2021
1 answerGet help from others!
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