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I've tried a few ways to do my multi-class classification. For categorical data, I used the embedding technique with Tensorflow, which moves the entity closer with its...
Asked on 01/22/2021 by Woden
1 answerLet us say we have a dataset with a feature such as Surname.arr['Surname'] = ['Smith', 'Jones', 'Johnson', 'Smith']And I want to encode this categorical info as a new feature...
Asked on 01/22/2021 by Jinglesting
1 answerI have a data from a store for the products that sold since more than 5 years. Each sell process has a customer id, date, and the quantity of the...
Asked on 01/22/2021
1 answerIs there a function equivalent of R's ndiffs function in Python?It is used to estimate a number of diffs for creating stationary time-series. R Documentation...
Asked on 01/22/2021 by S__A_a_r_
2 answerRegarding the types of temporal data, I saw on a temporal data mining book (Mitsa, Theophano. Temporal data mining. CRC Press, 2010), that there are 3 types of temporal data:...
Asked on 01/22/2021 by Maria Oliveira
0 answerI have seen many examples of this syntax that is being used for the loss function specifically: loss = nn.BCEWithLogitsLoss()(pred, y) Can anyone explain me what does the (pred, y)...
Asked on 01/22/2021 by ProJaqf
1 answerWhy do we need to use Labelimg tool for object detection? After labeling the bunch of training images using labelimg tool which will give CSV file How...
Asked on 01/22/2021
2 answerI am currently working with a dataset that is imbalanced, about 30k rows * 14 features (just for you know), and 99.5% of the data is labeled 0. Since the...
Asked on 01/22/2021 by Frank Xu
1 answerI'll explain my problem through a simplified example. Let's say I have a matrix $X$ of a single variable with the following valuesx = np.zeros(10).reshape(-1,1)x[0] = 1x[-1] =...
Asked on 01/21/2021 by stav
0 answerI would like to train a machine learning model with several features as input as X[] and with one output as Y. For example Every sample has a Data frame...
Asked on 01/21/2021 by Crazy9
1 answerGet help from others!
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