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Data Science : Recent Questions and Answers (Page 101)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

Maximize the margin formula in support vector machines algorithm

I was recently reading about support vector machines and how they work and I stumbled on an article and came across Maximize the distance margin. Can anyone tell me what...

Asked on 06/19/2021 by Sai Kumar

1 answer

How to calculate similarity between 2 users based on the images they share?

Say there are 2 users, A and B, and they each shared 10 images (in some social media site), which I have collected in 2 folders separately. I want to...

Asked on 06/19/2021

1 answer

How do you perform basic statistical analysis on a Binary Dataset?

I have never worked with a Binary dataset (1 and 0) (True or False) so I'm unsure what kind of statistical tests I should run to draw up simple...

Asked on 06/19/2021

0 answer

Difference between two images but in certain region only

I have two images, where i need to find the difference. i can easily did with the help of SSIM function. Now i want to find the difference between two...

Asked on 06/19/2021 by soumyajeet

0 answer

Which output of a BiLSTM layer should be used for classification

I am trying to implement a BiLSTM layer for a text classification problem and using PyTorch for this.self.bilstm = nn.LSTM(embedding_dim, lstm_hidden_dim//2, batch_first=True, bidirectional=True)lstm_out, (ht, ct) = self.bilstm(embeddings)Now, in some...

Asked on 06/19/2021

1 answer

Pre-processing data - Dataframe manipulation Time Series

I have a question in which I'm not entirely sure in which path to take. I'd appreciate if you could point me in the right direction. Below a screenshot of...

Asked on 06/19/2021

0 answer

Lower Variance vs. Higher Validation Scores

So I'm trying to compare between two models, say model(1) has training accuracy of 90% and validation accuracy of 86%, while model(2) has training accuracy of 87% and validation accuracy...

Asked on 06/19/2021 by Mourad Askar

1 answer

Decision Tree Induction using Information Gain and Entropy

I’m trying to build a decision tree algorithm, but I think I misinterpreted how information gain works. Let’s say we have a balanced classification problem.So, the initial entropy should...

Asked on 06/18/2021 by Krushe

2 answer

Why LSTM models do not require labels for each step?

For time related problems like, for example, stock prediction: Let's say we have 300 days of data, 10 features, and one target: the price. Why, for the training, we only...

Asked on 06/18/2021

2 answer

How to implement gridsearchCV for onevsrestclassifier of LogisticRegression classifier?

parameters = [{'C': [10**-2, 10**-1, 10**0,10**1, 10**2, 10**3]}]model_tunning = GridSearchCV(OneVsRestClassifier(LogisticRegression(penalty='l1')), param_grid=parameters,scoring="f1")model_tunning.fit(x_train_multilabel, y_train)ValueError ...

Asked on 06/18/2021 by Satyam Kumar

2 answer

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