Hands-on Data Science: K-Means, Linear Regression, and More
Dive into the world of data science with a focus on practical applications using Python. Learn about K-Means clustering, linear regression, mean square error, cross-validation, and choosing the right algorithms. Explore examples like image compression and get ready to code with tools like pandas, numpy, scikit-learn, and matplotlib. Have questions? Find answers in this engaging recitation session.
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Presentation Transcript
Intro to Data Science Recitation #2 Tel Aviv University 2017/2018 Slava Novgorodov
Todays lesson Introduction to Data Science: Hands-on Data Science with Python K-Means scikit-learn library Linear Regression Mean Square Error Cross Validation
K-Means Used for clustering of unlabeled data Example: Image compression
References http://pandas.pydata.org/ http://www.numpy.org/ http://scikit-learn.org http://matplotlib.org/ https://anaconda.org/
