Data Analysis for Machine Learning
We'll work with a Kaggle dataset: House Sales in King County, USA.
These are the features of the dataset:

id: a notation for a house
date: Date house was sold
price: Price is prediction target
bedrooms: Number of Bedrooms/House
bathrooms: Number of bathrooms/bedrooms
sqft_living: square footage of the home
sqft_lot: square footage of the lot
floors: Total floors (levels) in house
waterfront: House which has a view to a waterfront
view: Has been viewed
condition: How good the condition is ( Overall )
grade: overall grade given to the housing unit, based on King County grading system
sqft_above: square footage of house apart from basement
sqft_basement: square footage of the basement
yr_built: Built Year
yr_renovated: Year when house was renovated
zipcode: zip
lat: Latitude coordinate
long: Longitude coordinate
sqft_living15: Living room area in 2015(implies-- some renovations) This might or might not have affected the lotsize area
sqft_lot15: lotSize area in 2015(implies-- some renovations)

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