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# plots to be manullly made using results from sheet
#Cloth Mask

#get final numbers by running the ML pipeline above
rf_pe= [3.5,4.7,5.2] #MAE for healthy with Random Forest
lr_pe = [3.2,6.7,6.3]
svr_pe = [8.2,9.7,8.2]

rf_std= [1.5,2.2,1.1] #STD for healthy with Random Forest
lr_std = [1.3,2.2,1.5]

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['BR02',
 'BR03',
 'BR04',
 'BR05',
 'BR06',
 'BR07',
 'BR08',
 'BR09',
 'BR10',
 'BR11',

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import twitter
api = twitter.Api(consumer_key='',
                  consumer_secret='',
                  access_token_key='',
                  access_token_secret='')


#create the extra columns
t['createdOn'] = None
t['isVerified'] = None

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// OS Assignment-1 Copyright@Amit_Kumar Singh Yadav - 16110011 
// Question-1 Replicating cat function of UNIX Shell
 
#include <stdio.h> // for standard input and output- fgets, fclose, fopen
#include <stdlib.h> // for exit
#define BUFFER_SIZE 1000 //Buffer size=1000 characters
 
int main (int argc, char *argv[]) // argc: number of arguments including first argument as file name itself

{

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#Original Author: Prof. Nipun Batra
# nipunbatra.github.io
from math import sqrt 
import matplotlib
SPINE_COLOR = 'gray'
def latexify(fig_width=None, fig_height=None, columns=1):
    """Set up matplotlib's RC params for LaTeX plotting.
    Call this before plotting a figure.

    Parameters