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A Practical Guide to Dimensionality Reduction Techniques

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PyData DC 2016

This talk provides a step-by-step overview and demonstration of several dimensionality (feature) reduction techniques. Attendees should have some basic level of understanding of data wrangling and supervised learning. The presentation will also include snippets of Python code, so familiarity with Python code will be useful.

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