Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 11

Identify same product

I am new to ML and still learning it. My problem is to identify duplicate products. I have a dataset containing product details such as name, colour, size, description, features...

Asked on 12/04/2021

2 answer

Dealing with missing data

I have a question about data cleaning. I am a novice and have just started learning in this field so please pardon my ignorance. Suppose there are two columns and...

Asked on 12/04/2021

1 answer

how come accuracy_score recognizes the positive label and precision_score does not?

I am executing this code which works perfectly for me: (I only have 'positive' and 'negative' sentiments):from sklearn import metricsprint('Accuracy:',metrics.accuracy_score(test_sentiments, predicted_sentiments)) print('Precision:',metrics.precision_score(test_sentiments, predicted_sentiments, pos_label='positive'))My question is: how come...

Asked on 12/04/2021

1 answer

Keras: extreme spike in loss during training

I am training an LSTM for time series forecasting and it has produced an extremly high loss value during one epoch:Epoch 00043: saving model to /...904/904 - 2s -...

Asked on 12/02/2021

1 answer

Confusion with using different classes in neural networks (training vs testing)

I am new to deep learning and I am confused about having a neural network trained on certain classes and tested on different ones. Suppose I want to have a...

Asked on 12/02/2021

2 answer

Implementation of custom loss function invariant to batch size

When Implementing custom loss function how to make it invariant to the batch size. For example lets say dice loss is being implemented. The formula for dice loss is:...

Asked on 12/02/2021

0 answer

How to get a output of a hidden layer of a single-layer LSTM

How can get the hidden layer outputs in a simple one-layer lstm?cat("Building Modeln") ...

Asked on 11/30/2021

1 answer

Is too much or very few training sample of a specific feature hamper the neural network model?

I am analysing a technique "Sherlock" - a semantic type of column detecting technique wherein training dataset too many samples of a specific type are limited up...

Asked on 11/30/2021

1 answer

Does label encoding an entire dataset cause data leakage?

I have a dataset on which one of the features has a lot of different categorical values. Trying to use a LabelEncoder, OrdinalEncoder or a OneHotEncoder results in an error,...

Asked on 11/30/2021

3 answer

Why is Spark's LinearRegressionWithSGD very slow locally?

I have been trying to run linear regression with SGD that is found in Spark mllib for some time and I am experiencing huge performance problems. All examples that I...

Asked on 11/27/2021

1 answer

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