House Price Prediction of Real Time Data (DHA Defence) Karachi Using Machine Learning
نویسندگان
چکیده
Pakistan’s real estate market has a large impact in GDP growth. Investment sector Pakistan is encumbered with lucrative opportunities. The demand for housing ever increasing year by year. House sales prices keep on changing and frequently, so there need system to forecast house the future. Several factors that influence price includes; location, physical attributes, number of bedrooms as well several other economic factors. One main motivation choosing Karachi prediction capital Sindh it significant importance country's major commercial industrial center Sindh. It one contribution work through this model based DHA data developed per best our knowledge till today no country’s important been developed. This research paper mainly focuses time Defense Housing Authority (DHA) data, applying different regression algorithms like Decision tree, Random forest linear find compare performance these models. Forest algorithm gives 98% accuracy. proposed will be very much helpful common people, real-estate investors builders inform them about making decision selling or buying at Karachi.
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ژورنال
عنوان ژورنال: Sir Syed University research journal of engineering and technology
سال: 2022
ISSN: ['1997-0641', '2415-2048']
DOI: https://doi.org/10.33317/ssurj.504