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When you build a classification or regression model, you typically split the data into a train data set and a test data set. The test data is a randomly selected...
Asked on 07/08/2021 by Alex S Kinman
2 answerI have the binary classification, I tried several models KNN, SVM, decision tree, and random forest. I have 50 000 samples, X_train has 50 000 rows and 2300 columns. Everything...
Asked on 07/08/2021
1 answerI needed to use cross-validation in the Neural network.I used kf = KFold(n_splits=5, shuffle=True)and for train_index, test_index in kf.split(train): train_X, train_y = train_XX[train_index],...
Asked on 07/08/2021 by Suraj
1 answerI want to train a neural network and I want to check its total loss in every 100 epoch but I get the error RuntimeError: CUDA out of memory. Tried...
Asked on 07/08/2021 by Farhang Amaji
0 answerI'm training a CNN network to detect relations between entities in written texts. I am suffering from an overfitting problem, I have high accuracy and low loss at the training...
Asked on 07/08/2021 by Islam Kh
0 answerI'm not from the data science area, and I need to perform some statistical analysis on my data, but I don't know which analytical tools I should use. Number of...
Asked on 07/07/2021 by Torsten W.
2 answerThe question is simple: is there any advantage in using sigmoid function in a convolutional neural network? Because every website that talks about CNN uses Relu function....
Asked on 07/07/2021 by Malvrok
1 answerfor a given corpus are the Latent Dirichlet Allocation clusters for it is unique in general?How about the gensim multi-process implementation of LDA? are there unique or they...
Asked on 07/07/2021
1 answerI'm working on simple machine learning problems and I trying to build a classifier that can differentiate between spam and non-spam SMS. I'm confused as to whether I need to...
Asked on 07/07/2021 by Doctor
1 answerAre there any guidelines for choosing the embedding dimension size value in a custom Word2Vec embedding? I know that the default is 100 and that seems just as good as...
Asked on 07/07/2021
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