scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning.
I'm trying to perform feature selection by evaluating my regressions coefficient outputs, and select the features with the highest magnitude …
scikit-learn linear-regression feature-selectionCould you please explain what the "fit" method in scikit-learn does? Why is it useful? I am new in Machine …
python machine-learning scikit-learnI have a classification task with a time-series as the data input, where each attribute (n=23) represents a specific point …
scikit-learn random-forest feature-selectionI'm trying to use one of scikit-learn's supervised learning methods to classify pieces of text into one or more categories. …
python classification scikit-learnI am lost in the scikit learn 0.18 user manual (http://scikit-learn.org/dev/modules/generated/sklearn.neural_network.MLPClassifier.html#…
python python-2.7 scikit-learn neural-networkAs an R user, I wanted to also get up to speed on scikit. Creating a linear regression model(s) …
python r scikit-learn linear-regression summaryI'm new to Python and trying to perform linear regression using sklearn on a pandas dataframe. This is what I …
python pandas scikit-learn dataframe linear-regressionUsing the code below for svm in python: from sklearn import datasets from sklearn.multiclass import OneVsRestClassifier from sklearn.svm …
python scikit-learn svmOn OS X 10.11.6 and python 2.7.10 I need to import from sklearn manifold. I have numpy 1.8 Orc1, scipy .13 Ob1 and scikit-learn 0.17.1 …
python python-2.7 scikit-learnI'm trying to create N balanced random subsamples of my large unbalanced dataset. Is there a way to do this …
python pandas scikit-learn subsampling