House Price Prediction (HPP)

Abstract

Machine Learning is seeing its growth more rapidly in this decade. Many applications and algorithms evolve in Machine Learning day to day. One such application found in journals is house price prediction. House prices are increasing every year which has necessitated the modeling of house price prediction. These models constructed, help the customers to purchase a house suitable for their need. Proposed work makes use of the attributes or features of the houses such as number of bedrooms available in the house, age of the house, travelling facility from the location, school facility available nearby the houses and Shopping malls available nearby the house location. House availability based on desired features of the house and house price prediction are modeled in the proposed work and the model is constructed for a small town. The data analyst role is in high demand, as organizations are growing their analytic capabilities at a rapid clip. Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance. They form the core of any analytic team and tend to be generalists versed in the methods of mathematical and statistical analysis. Data analysts seek to describe the current state of reality for their organizations by translating data into information accessible to the business. They collect, analyze, and report on data to meet business needs. The role includes identifying new sources of data and methods to improve data collection, analysis, and reporting.There are two type of analytics. Predictive analytics and Descriptive analytics.Prescriptive analytics is an advanced analytics technology that can provide recommendations to decision makers and help them achieve business goals by solving complicated optimization problems. Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, optimization, real-time scoring, and machine learning.Descriptive analytics is the interpretation of historical data to better understand changes that have occurred in a business. Descriptive analytics describes the use of a range of historic data to draw comparisons. As machine learning is the process of teaching a computer system how to make accurate predictions when fed data. machine learning is the process of teaching a computer system how to make accurate predictions when fed data. Machine learning involves computers discovering how they can perform tasks without being explicitly programmed to do so. Anaconda is the data science platform for data scientists, IT professionals and business leaders of tomorrow. It is a distribution of Python, R, etc. With more than 300 packages for data science, it becomes one of the best platforms for any project.