Hands-on Data Science with Python: K-Means, Linear Regression, and More

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Explore the world of data science through this recitation at Tel Aviv University, focusing on Python, K-Means clustering, linear regression, and algorithm selection.

  • Data Science
  • Python
  • K-Means
  • Linear Regression
  • Algorithm

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Presentation Transcript


  1. Intro to Data Science Recitation #2 Tel Aviv University 2016/2017 Slava Novgorodov

  2. Todays lesson Introduction to Data Science: Hands-on Data Science with Python K-Means scikit-learn library Linear Regression Mean Square Error Cross Validation

  3. Choosing the right algorithm

  4. K-Means Used for clustering of unlabeled data Example: Image compression

  5. Lets code!

  6. References http://pandas.pydata.org/ http://www.numpy.org/ http://scikit-learn.org http://matplotlib.org/ https://anaconda.org/

  7. Questions?

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