Category : scikit-learn

I am currently learning about supervised machine learning algorithms myself. Nowadays, we could simply predict outcomes using a pre-made KNN model from the scikit-learn KNeighborsClassifier. I want to understand and try to (re)build the algorithm of the KNeighborsClassifier model. But I find it difficult to do so. My data ‘deliveries.csv’ contains 3 columns [‘quantity’ (int), ..

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Task 1 Import two modules sklearn.datasets, and sklearn.model_selection. • Load popular iris data set from sklearn.datasets module and assign it to variable iris. Split iris.data into two sets names X_train and X_test. Also, split iris.target into two sets Y train and Y_test. o Hint: Use train_test_split method from sklearn.model_selection; set random_state to 30 and perform ..

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Task 1 Import two modules sklearn.datasets, and sklearn.model_selection. • Load popular iris data set from sklearn.datasets module and assign it to variable iris. Split iris.data into two sets names X_train and X_test. Also, split iris.target into two sets Y train and Y_test. o Hint: Use train_test_split method from sklearn.model_selection; set random_state to 30 and perform ..

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