Training a machine learning model with scikit-learn

Now that we're familiar with the famous iris dataset, let's actually use a classification model in scikit-learn to predict the species of an iris! We'll learn how the K-nearest neighbors (KNN) model works, and then walk through the four steps for model training and prediction in scikit-learn. Finally, we'll see how easy it is to try out a different classification model, namely logistic regression.

Download the notebook: https://github.com/justmarkham/scikit...
Iris dataset: http://archive.ics.uci.edu/ml/dataset...
Nearest Neighbors user guide: http://scikit-learn.org/stable/module...
KNeighborsClassifier class documentation: http://scikit-learn.org/stable/module...
Logistic Regression user guide: http://scikit-learn.org/stable/module...
LogisticRegression class documentation: http://scikit-learn.org/stable/module...
Videos from An Introduction to Statistical Learning: https://www.dataschool.io/15-hours-of...

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Machine learning in Python with sciki...

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• #k_nearest_neighbors
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• #iris_dataset
• #logistic_regression