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The goal of this machine learning project is to predict the selling price of a new home by applying basic machine learning (regression)concepts to the housing prices data.

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AsimChakraborty/House_price_prediction

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House_price_prediction

#About Dataset: Boston House Prices Dataset consists of prices of houses across different places in Boston. The dataset also consists of information on areas of non-retail business (INDUS), crime rate (CRIM), age of people who own a house (AGE), and several other attributes (the dataset has a total of 14 attributes). #Algorithms used: LinearRegression

#Tools used: .Flask .Google Colab .Vscode .Github

#Libraries used .pandas .numpy .matplotlib .seaborn .pickle .scikit-learn .flask

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The goal of this machine learning project is to predict the selling price of a new home by applying basic machine learning (regression)concepts to the housing prices data.

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