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forecasting:frequently_used_libraries [2020/09/28 22:44] kmacloves created |
forecasting:frequently_used_libraries [2021/09/19 21:59] (current) |
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| __Encoding Categorical Data__ | __Encoding Categorical Data__ | ||
| - | from sklearn.compose import ColumnTransformer | + | |from sklearn.compose import ColumnTransformer| |
| __Splitting the dataset into Training and Test sets__ | __Splitting the dataset into Training and Test sets__ | ||
| - | from sklearn.model_selection import train_test_split | + | |from sklearn.model_selection import train_test_split| |
| __Linear Regression__ | __Linear Regression__ | ||
| - | from sklearn.linear_model import LinearRegression | + | |from sklearn.linear_model import LinearRegression| |
| __Polynomial Regression__ | __Polynomial Regression__ | ||
| - | from sklearn.preprocessing import PolynomialFeatures | + | |from sklearn.preprocessing import PolynomialFeatures| |
| __Feature Scaling__ | __Feature Scaling__ | ||
| - | from sklearn.preprocessing import StandardScaler | + | |from sklearn.preprocessing import StandardScaler| |
| __Support Vector Regression__ | __Support Vector Regression__ | ||
| - | from sklearn.svm import SVR | + | |from sklearn.svm import SVR| |