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ABSTRACT
Machine Learning is a study of computer algorithm to improve automatically through
experience and by use of data. It has been as a part of artificial Intelligence .Machine
learning algorithms build a model based on sample data, known as “Training data”, in
order to make predictions or decisions without being explicitly programmed to do so
.Machine learning algorithm are used in wide variety of applications, such as medicine,
email filtering and computer vision where it is difficult or unfeasible to develop a
conventional algorithms to perform needed task.A subset of machine learning is closely
related to computational statistics , which is focus on making predictions.
The Housing Price Prediction Using Concept of Machine Learning Has Become one of
the most interesting application of Machine Learning Concept. To predict The Price of
the House using Linear Regression Algorithm of Machine Learning . Regression is A
Machine Learning tool That helps to make prediction by learning from the existing
statistical data and this is done by finding relationship between Target Parameter and
the set of Other Parameters. According to this definition , a House‟s price depends on
parameters such as Number of Bedrooms, Living Area , Location etc . If we apply
Artificial Learning to these Parameters we can Calculate House Valuations In a given
Geographical area.
Jupyter python programming software is used to design the code for Predicting the
Housing Prices. It is an open source Software and it provides services for interactive
computing across dozen of programming Languages .The software provides various
functions and tools and In-Build Python Library so that operations can be performed
accurately with maximum efficiency. with loops, functions variables, operators to
perform various operations and obtain data. These software are very precise thus used
in various research and analytical and educational related works.
