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scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.

1 vote
1 answer
62 views

For text classification that has innumerable features, how do I choose the number of neurons...

In my use case of text classification (identify the author from a subset of 10 authors), I find that post all processing with trigrams, there are a 100 thousand and odd features with nearly 50k observ …
karthiks's user avatar
  • 352
1 vote
1 answer
246 views

Why should re-sampling change the value of model's coefficients?

I have the code below in python to create LinearRegression model. When I train the model with re-sampled data, I get different values for its coefficients. I can't understand why that happens. Can you …
karthiks's user avatar
  • 352
10 votes
3 answers
12k views

Can we remove features that have zero-correlation with the target/label?

So I draw a pairplot/heatmap from the feature correlations of a dataset and see a set of features that bears Zero-correlations both with: every other feature and also with the target/label .Ref …
karthiks's user avatar
  • 352