Simple Linear Regression: A Practical Implementation in Python
https://www.askpython.com/python/examples/linear-regression-in-python
Importing The DatasetData PreprocessingSplitting The DatasetFitting Linear Regression Model Into The Training SetPredicting The Test Set ResultsFrom sklearn’s linear model library, import linear regression class. Create an object for a linear regression class called regressor. To fit the regressor into the training set, we will call the fit method – function to fit the regressor into the training set. We need to fit X_train (training data of matrix of features) into the target values y_tra...See more on askpython.comEstimated Reading Time: 6 minsExplore further From sklearn’s linear model library, import linear regression class. Create an object for a linear regression class called regressor. To fit the regressor into the training set, we will call the fit method – function to fit the regressor into the training set. We need to fit X_train (training data of matrix of features) into the target values y_tra...
From sklearn’s linear model library, import linear regression class. Create an object for a linear regression class called regressor. To fit the regressor into the training set, we will call the fit method – function to fit the regressor into the training set. We need to fit X_train (training data of matrix of features) into the target values y_tra...
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