ML-applied-to-real-estate

Description:

Fast example of how to combine Machine Learning techniques and geostatistical models to predict houses's prices.
A final report explaning the project has been written using Rmarkdown and rendering a .html file.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Proj4Leaflet-1.0.1		Proj4Leaflet-1.0.1
bootstrap-3.3.5		bootstrap-3.3.5
figure-html		figure-html
highlightjs-9.12.0		highlightjs-9.12.0
htmlwidgets-1.2		htmlwidgets-1.2
jquery-1.12.4		jquery-1.12.4
jqueryui-1.11.4		jqueryui-1.11.4
leaflet-1.3.1		leaflet-1.3.1
leaflet-binding-2.0.2		leaflet-binding-2.0.2
leafletfix-1.0.0		leafletfix-1.0.0
navigation-1.1		navigation-1.1
pagedtable-1.1		pagedtable-1.1
rstudio_leaflet-1.3.1		rstudio_leaflet-1.3.1
tocify-1.9.1		tocify-1.9.1
Final_report.html		Final_report.html
README.md		README.md
kc_house_data.csv		kc_house_data.csv

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