Getting started in scikit-learn with the famous iris dataset
Now that we've set up Python for machine learning, let's get started by loading an example dataset into scikit-learn! We'll explore the famous "iris" dataset, learn some important machine learning terminology, and discuss the four key requirements for working with data in scikit-learn. Download the notebook: https://github.com/justmarkham/scikit... Iris dataset: http://archive.ics.uci.edu/ml/dataset... scikit-learn dataset loading utilities: http://scikit-learn.org/stable/datasets/ Fast Numerical Computing with NumPy (slides): https://speakerdeck.com/jakevdp/losin... Fast Numerical Computing with NumPy (video): • Losing your Loops Fast Numerical Computing... Introduction to NumPy (PDF): http://www.engr.ucsb.edu/~shell/che21... WANT TO GET BETTER AT MACHINE LEARNING? HERE ARE YOUR NEXT STEPS: 1) WATCH my scikit-learn video series: • Machine learning in Python with scikit-learn 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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