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started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

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ArunabhaPani/House_price_prediction_kaggle_learning

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started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Dataset Description

File Descriptions

train.csv – the training set

test.csv – the test set

data_description.txt – full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here

sample_submission.csv – a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms

Data Fields

Here’s a brief version of what you’ll find in the data description file:

SalePrice – the property’s sale price in dollars (target variable)

MSSubClass – The building class

MSZoning – The general zoning classification

LotFrontage – Linear feet of street connected to property

LotArea – Lot size in square feet

Street – Type of road access

Alley – Type of alley access

LotShape – General shape of property

LandContour – Flatness of the property

Utilities – Type of utilities available

LotConfig – Lot configuration

LandSlope – Slope of property

Neighborhood – Physical locations within Ames city limits

Condition1 – Proximity to main road or railroad

Condition2 – Proximity to main road or railroad (if a second is present)

BldgType – Type of dwelling

HouseStyle – Style of dwelling

OverallQual – Overall material and finish quality

OverallCond – Overall condition rating

YearBuilt – Original construction date

YearRemodAdd – Remodel date

RoofStyle – Type of roof

RoofMatl – Roof material

Exterior1st – Exterior covering on house

Exterior2nd – Exterior covering on house (if more than one material)

MasVnrType – Masonry veneer type

MasVnrArea – Masonry veneer area in square feet

ExterQual – Exterior material quality

ExterCond – Present condition of the material on the exterior

Foundation – Type of foundation

BsmtQual – Height of the basement

BsmtCond – General condition of the basement

BsmtExposure – Walkout or garden level basement walls

BsmtFinType1 – Quality of basement finished area

BsmtFinSF1 – Type 1 finished square feet

BsmtFinType2 – Quality of second finished area (if present)

BsmtFinSF2 – Type 2 finished square feet

BsmtUnfSF – Unfinished square feet of basement area

TotalBsmtSF – Total square feet of basement area

Heating – Type of heating

HeatingQC – Heating quality and condition

CentralAir – Central air conditioning

Electrical – Electrical system

1stFlrSF – First Floor square feet

2ndFlrSF – Second floor square feet

LowQualFinSF – Low quality finished square feet (all floors)

GrLivArea – Above grade (ground) living area square feet

BsmtFullBath – Basement full bathrooms

BsmtHalfBath – Basement half bathrooms

FullBath – Full bathrooms above grade

HalfBath – Half baths above grade

Bedroom – Number of bedrooms above basement level

Kitchen – Number of kitchens

KitchenQual – Kitchen quality

TotRmsAbvGrd – Total rooms above grade (does not include bathrooms)

Functional – Home functionality rating

Fireplaces – Number of fireplaces

FireplaceQu – Fireplace quality

GarageType – Garage location

GarageYrBlt – Year garage was built

GarageFinish – Interior finish of the garage

GarageCars – Size of garage in car capacity

GarageArea – Size of garage in square feet

GarageQual – Garage quality

GarageCond – Garage condition

PavedDrive – Paved driveway

WoodDeckSF – Wood deck area in square feet

OpenPorchSF – Open porch area in square feet

EnclosedPorch – Enclosed porch area in square feet

3SsnPorch – Three season porch area in square feet

ScreenPorch – Screen porch area in square feet

PoolArea – Pool area in square feet

PoolQC – Pool quality

Fence – Fence quality

MiscFeature – Miscellaneous feature not covered in other categories

MiscVal – $Value of miscellaneous feature

MoSold – Month Sold

YrSold – Year Sold

SaleType – Type of sale

SaleCondition – Condition of sale

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started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

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