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“Finding out the most relevant features for pricing of a house” and fitting it into Linear regression to predict the price of the house.

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Terro-Real-Estate-Agency-MS-Excel-

“Finding out the most relevant features for pricing of a house” Terro’s real-estate is an agency that estimates the pricing of houses in a certain locality. The pricing is concluded based on different features / factors of a property. This also helps them in identifying the business value of a property. To do this activity the company employs an “Auditor”, who studies various geographic features of a property like pollution level (NOX), crime rate, education facilities (pupil to teacher ratio), connectivity (distance from highway), etc. This helps in determining the price of a property.

The agency has provided a dataset of 506 houses in Boston. Following are the details of the dataset:

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“Finding out the most relevant features for pricing of a house” and fitting it into Linear regression to predict the price of the house.

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