Real Estate Price Prediction

G. Kumar, Ms Priyanka Makkar, Dr. Yojna Arora
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引用次数: 8

Abstract

Analyzing various fields, associate numbers, events became the need of time and most important step to do anything and hence data science became an important part in every field. Using the concept of data science, the project of Real Estate Price Prediction is built. The motive of creating a project on Real Estate Price Prediction was just to implement the concepts of data science and python language that is used in analyzing for designing an application. This was done to get better understanding of the skills that are needed in python language, analysis using data science. The project focuses on the different features and algorithm available in python and data science. In this project various library of python is used to design an attractive, effective, and beautiful project. The project will introduce a Real Estate price estimation system that done estimate based on various mathematical algorithms and tricks and then gives best possible result. So basically, what this application does is identify the need of user in any specific area in Bangalore.
房地产价格预测
分析各个领域,关联数字,事件成为时间的需要,也是做任何事情的最重要步骤,因此数据科学成为每个领域的重要组成部分。运用数据科学的概念,构建了房地产价格预测项目。创建房地产价格预测项目的动机只是为了实现数据科学和python语言的概念,这些概念用于分析和设计应用程序。这样做是为了更好地理解python语言所需的技能,使用数据科学进行分析。该项目侧重于python和数据科学中可用的不同功能和算法。在这个项目中,python的各种库被用来设计一个有吸引力的,有效的,美丽的项目。该项目将引入一个房地产价格估算系统,该系统基于各种数学算法和技巧进行估算,然后给出最佳可能结果。所以基本上,这个应用程序所做的就是识别班加罗尔任何特定区域的用户需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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