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Update README.md

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@@ -60,16 +60,25 @@ For the feature selection, I started by dropping columns with a low correlation
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  Here are the 10 features I selected:
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- 'OverallQual',
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- 'YearBuilt',
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- 'TotalBsmtSF',
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- 'GrLivArea',
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- 'MasVnrArea',
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- 'BsmtFinType1',
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- 'Neighborhood',
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- 'GarageType',
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- 'SaleCondition',
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- 'BsmtExposure'
 
 
 
 
 
 
 
 
 
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  All the attributes are encoded and normalized before splitting into train and test with 80% train and 20% test.
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  Here are the 10 features I selected:
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+ 'OverallQual': Overall material and finish quality
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+ 'YearBuilt': Original construction date
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+ 'TotalBsmtSF': Total square feet of basement area
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+ 'GrLivArea': Above grade (ground) living area square feet
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+ 'MasVnrArea': Masonry veneer area in square feet
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+ 'BsmtFinType1': Quality of basement finished area
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+ 'Neighborhood': Physical locations within Ames city limits
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+ 'GarageType': Garage location
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+ 'SaleCondition': Condition of sale
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+ 'BsmtExposure': Walkout or garden level basement walls
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  All the attributes are encoded and normalized before splitting into train and test with 80% train and 20% test.
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