Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 299

Split columns by finding "£" and then converting to minvalue, maxvalue

I have a pandas dataframe with a salary column which contains values like:£36,000 - £40,000 per year plus excellent bene..., £26,658 to £32,547 etcI isolated this column and...

Asked on 11/30/2020

2 answer

Advanced Activation Layers in Deep Neural Networks

I'm wondering about the benefits of advanced activation layers such as LeakyReLU, Parametric ReLU, and Exponential Linear Unit (ELU). What are the differences between them and how do they benefit...

Asked on 11/30/2020 by Vadim Smolyakov

1 answer

Using iGraph to build a Distribution Model

I would like to analyze the distribution of the Customers from a Shop, if the Shop is closed or terminated. Consider the following sample data-set;| ShopID | MonthlyCVisitCount |...

Asked on 11/30/2020

1 answer

What is the best performance metric used in balancing dataset using SMOTE technique

I used smote technique to oversample my dataset and now I have a balanced dataset. The problem I faced is that the performance metrics; precision, recall, f1 measure, accuracy in...

Asked on 11/30/2020 by Rawia Sammout

1 answer

SVM with gradient descent

The constrained optimization problem in SVM is given bymin 1/2 ||w||^2s.t y(i)(w^T x(i) + b >= 1 for all i Now converting this to an unconstrained optimization problem...

Asked on 11/30/2020

0 answer

Is smoothing in NLP ngrams done on test data or train data?

Is smoothing in NLP ngram done on test data or train data? Since smoothing is to avoid the language model predicting 0 probability of unseen corpus (test). So I wonder...

Asked on 11/30/2020 by Hing Wong

1 answer

On which algorithm for boosting is the method xgbLinear of the xgboost/caret- package based on?

In caret package of R, there is a method 'xgblinear'. What is the working algorithm behind this method....

Asked on 11/30/2020 by Shashi Bhushan

1 answer

Ensure class balanced batches while hyperparameter tuning keras models with grid search

Ensuring class balanced batches while training keras models is possible using fit_generator method. I used imblearn.keras.BalancedBatchGenerator for that and it works fine! But i...

Asked on 11/29/2020 by Amine

0 answer

how to implement Excel vlookup on Python

I have a dataset A and dataset B, both data has a column in common which is the ID, i want to check if dataset A ID values can be...

Asked on 11/29/2020 by UZOCHUKWU URUAKPA

1 answer

How fit pairwise ranking models in xgBoost?

As far as I know, to train learning to rank models, you need to have three things in the dataset:label or relevancegroup or query idfeature vectorFor example, the ...

Asked on 11/29/2020 by tokestermw

2 answer

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