Notebooks from the Portland GeoDev talk (Esri#313)

Author: AtmaMani

talks/GeoDevPDX2018/01_clean-housing-data.ipynb

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+This folder contains talk given at the GeoDev meetup organized by Esri Portland R&D office. The title of the talk is 'House hunting - the data scientist way'.
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+ - [Meet up link](https://www.meetup.com/DevMeetUpOregon/events/254393668/)
+ - [slides used for the presentation](https://slides.com/atma_mani/deck-1)
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+# House hunting - the data scientist way
+Buying a house is a huge financial and personal undertaking for most people. Whether we realize or not, a lot of decisions we make are heavily influenced by the location of the houses.
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+In this talk, I show how Python's data analysis and geospatial analysis packages can be used to analyze the whole gamut of available listings in a market, evaluate and score properties based on various attribute and spatial parameters and arrive at a shortlist.
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+I extend by showing how this process can be used to build a machine learning model that will understand our preferences and continue to learn as more data is fed. 
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+I conclude with ideas for future work and how rest of the industry is progressing in this field.