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