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BengaluruHousePriceRegression

Data Analysis With Jupyter Notebook In Python 3.6+

banglore City

Features

  • Area_typedescribes the area
  • Availabilitywhen it can be possessed or when it is ready(categorical and time-series)
  • Locationwhere it is located in Bengaluru
  • PriceValue of the property in lakhs(INR)
  • Sizein BHK or Bedroom (1-10 or more)
  • Societyto which society it belongs
  • Total_sqftsize of the property in sq.ft
  • BathNo. of bathrooms
  • BalconyNo. of the balcony

How To Run

  • Install python 3.6+
  • Pip insall
    • numpy
    • pandas
    • matplotlib
    • seaborn
    • sklearn

Installation

Fork Project and contribute to improving Analysis

Check here for setup your notebook first time. Start With Jupyter NoteBook

Usage

A good start with data-analysis for beginner

Support

contributors

Contributing

Before submitting a bug, please do the following:

Perform basic troubleshooting steps:

  • Make sure you are on the latest version. If you are not on the most recent version, your problem may have been solved already! Upgrading is always the best first step.
  • Try older versions. If you are already on the latest release, try rolling back a few minor versions (e.g. if on 1.7, try 1.5 or 1.6) and see if the problem goes away. This will help the devs narrow down when the problem first arose in the commit log.
  • Try switching up dependency versions. If the software in question has dependencies (other libraries, etc) try upgrading/downgrading those as well.

Authors and acknowledgment

Show your appreciation to those who have contributed to the project.

License

For open-source projects, Under MIT License.

Project status

Author

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