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ml-handling-missing-data's Introduction

Machine Learning

Handling Missing Data with Python

setup

  • Make sure you have postgresql installed

  • First, log into the default Postgres user with the following command:

    sudo su - [user - your postgres user]

  • Download world database file

    wget http://pgfoundry.org/frs/download.php/527/world-1.0.tar.gz
    
    
  • Extract the gzipped archive and change the content directory

    tar xzvf world-1.0.tar.gz
    cd dbsamples-0.1/world
    
  • Create a database to import the file structure into:

      createdb -T template0 worlddb
    
  • Finally, we will use the .sql file as input into the newly created database:

    psql worlddb < world.sql
    

Running the code

Make sure to use python3 while running the code

  • install the dependencies in requirements in requirements.txt

    pip3 install -r requirements.txt - python3

  • To plot the graphs run the following command

    python3 run.py
    
  • Done!๐Ÿฅฐ

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