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Regression and Classification task with sklearn.

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sklearn-classify sklearn-library regression-algorithms regresssion classification classification-algorithm random-forest random-forest-regression random-forest-regressor random-forest-algorithm numpy

classification-and-regression-using-sklearn's Introduction

Classification-and-Regression-using-sklearn

In this session, i am going to perform regression task with sklearn. It will involve;

Reading data into a numpy array - or into a form you can use for training your algorithms read the data into a numpy array - or into a form you can use for training your algorithms Using sklearn split the data into a training set of 80% of the training set and 20% for the test set Training an RandomForest Regression algorithm on the training data and get a score for the error on the test set Use another performance measure in sklearn apart from the accuracy for how your algorithm performs on the test data.

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