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I want to create a deep learning model (CNN) for binary classification, can I used the softmax function instead of the sigmoid function in binary classification? Adding the classification layer to ...

I wanted to do CV with Xgboost with the function xgb.cv() documentation here I am not quite sure how it works tho. I read online that this function tell's you at which iteration to stop when training ...

This question is related to this unsupported operand type(s) for -: 'list' and 'list' using python I want to predict value according to the three inputs(X1,X2,X3) . for prediction ...

In deep learning, we can assess model's performance with loss function value and improve model's performance with K-fold cross-validation and so on. But how can we design and tune neural network used ...

I am trying to use transfer learning in medical (ultrasound pictures). The problem is - I have very limited picture database = 400 (360+40). I am using resnet50 (I don't think this is important but ...

Here I have a data file and I designed neural network to predict value. I have a three inputs. These three inputs affect to predict value bysubtarcting and adding. If my three inputs are x1,x2,x3 . X1 ...

Assume that a classier has been trained already (no missing training data), but a prediction has been requested based on an observation that does not include every feature. How can we handle this ...

Has anyone else encountered this error? I am teaching a business analytics class with python this semester and Colab has been absolutely fantastic, yet one student is getting the following error. ...

I have a dataset of customer contracts that specify a start date and if applicable an end date. Each month a customer is up for renewal. Below is an example of how the data is organized in excel: <...

I am using tslearn KShape to cluster time series data. I am generally happy with the results, as upon inspection, the clusters seem to make sense because of the similarity in shape and magnitude. I ...

I have to solve this question for my homework but I don't get how to formulate svm to FSVM. can someone please guide me? What is your idea to have a model of SVM classifier in which instances can ...

I have been trying to understand how to build LSTM model for multivariate time series forecast using Keras but I am still unsure how to present the data in the correct shape. ...

I have a data set containing millions of items collected from many disparate sources. Each item contains a list of anywhere from fifty to a thousand attributes. The specific attributes available vary ...

I'm trying to use Keras's recurrent models (ConvLSTM2D here) for my neural network. My objective is to takes two images of the same object at different angles, and based on the features from the two ...

I have two models, A and B, trained on Imagenet. Their accuracies on Imagenet validation set are 35.6% and 28.64% respectively, while the accuracy of their ensemble (averaging their scores) is 35.68%. ...