Youtor
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=RlQuVL6-qe8
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... • WANT TO GET BETTER AT MACHINE LEARNING? HERE ARE YOUR NEXT STEPS: • 1) WATCH my scikit-learn video series: • • Machine learning in Python with sciki... • 2) SUBSCRIBE for more videos: • https://www.youtube.com/dataschool?su... • 3) JOIN Data School Insiders to access bonus content: • / dataschool • 4) ENROLL in my Machine Learning course: • https://www.dataschool.io/learn/ • 5) LET'S CONNECT! • Newsletter: https://www.dataschool.io/subscribe/ • Twitter: / justmarkham • Facebook: / datascienceschool • LinkedIn: / justmarkham
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