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.
While practicing Simple Linear Regression Model I got this error, I think there is something wrong with my data set. …
python-3.x scikit-learn linear-regressionI am confused about using freeze_support() for multiprocessing and I get a Runtime Error without it. I am only …
python scikit-learn multiprocessing runtime-errorI am trying to predict the admit variable with predictors such as gre,gpa and ranks.But the prediction accuracy …
python machine-learning scikit-learn regression logistic-regressionI calculated a confusion matrix for my classifier using the method confusion_matrix() from the sklearn package. The diagonal elements …
python matrix scikit-learn normalization confusion-matrixI am using GridSearch from sklearn to optimize parameters of the classifier. There is a lot of data, so the …
python logging scikit-learnI'm learning different methods to convert categorical variables to numeric for machine-learning classifiers. I came across the pd.get_dummies …
python pandas machine-learning scikit-learn dummy-variablehello i am new to sklearn in python and iam trying to learn it and use this module to predict …
python-3.x scikit-learn valueerrorclass sklearn.ensemble.RandomForestClassifier(n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_…
python parameters machine-learning scikit-learn random-forestI have a sentiment analysis task, for this Im using this corpus the opinions have 5 classes (very neg, neg, neu, …
machine-learning nlp scikit-learn svm confusion-matrixI'm using the MinMaxScaler model in sklearn to normalize the features of a model. training_set = np.random.rand(4,4)*10 training_…
python machine-learning scikit-learn normalization