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Sales-Analysis-Prediction

Analyzing a shop's historical sales data to predict the total sales of products sold in every shop, using Machine Learning.

To view the code, open the url: https://nbviewer.jupyter.org/

Paste the url of the github iPython file to be viewed in the link to view the source code.

void Command::print() { printf("\n\n"); printf(" COMMAND TABLE \n"); printf("\n"); printf(" # Simple Commands\n"); printf(" --- ----------------------------------------------------------\n");

int i = 0;
// iterate over the simple commands and print them nicely
for ( auto & simpleCommand : _simpleCommands ) {
    printf("  %-3d ", i++ );
    simpleCommand->print();
}

printf( "\n\n" );
printf( "  Output       Input        Error        Background\n" );
printf( "  ------------ ------------ ------------ ------------\n" );
printf( "  %-12s %-12s %-12s %-12s\n",
        _outFile?_outFile->c_str():"default",
        _inFile?_inFile->c_str():"default",
        _errFile?_errFile->c_str():"default",
        _background?"YES":"NO");
printf( "\n\n" );

}

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