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I need to predict technical aggregate condition using vibration monitoring data. We consider this data to be nonstationary i.e. distribution parameters and descriptive statistics are not constant. I found that...
Asked on 12/11/2021
1 answerI have several implementation of the same neural network, but each one with different starting parameter. This is one of...
Asked on 12/11/2021
2 answerI have 2 scripts - A.py and B.py, and both are Flask apps.A.py renders a web page and acts as my UI taking inputs from user.B.py is hold...
Asked on 12/11/2021
1 answerI have a problem of a task using the formula of the Gradient Descent: Perform two steps of the gradient descent towards...
Asked on 12/11/2021
1 answerGiven a variable which is categorical that depends on continuous variables, I would like to know how to check wether these continous variable explain the categorical one. So:Y =...
Asked on 12/11/2021
2 answerI am looking for not so known regression models and if possible a python library that implements it. In my quiver I have:Generalized Linear Models, Linear, Lasso, Ridge...Decision Tree based...
Asked on 12/11/2021
1 answerIn the book 'Text Analytics with Python', the author provides model_evaluation_utils.py In the code of the .py he does:metrics.precision_score(true_labels, predicted_labels,average='weighted')I have two questions regarding it: 1- per the documentation...
Asked on 12/11/2021
1 answerI'm given a Dataset of transactions and asked to find insights for businesses. I'm extremely new to ML / Data science and have only been experiencing with KMeans. The dataset...
Asked on 12/11/2021
3 answerI have a dataset that contains information regarding diabetes patients, like so: id diabetes diet insulin lifestyle...
Asked on 12/11/2021
1 answerI am reading the literature on sequential learning and it is often mention that in order to handle sequential/temporal data, there two categories of work in sequential learningExternal Representation of...
Asked on 12/11/2021
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