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df=pd.read_excel(r'C://Users//Prashant//Desktop//airfoil_new.xlsx')
columns = ['Frequency','Angle','Chord length','Free-stream velocity','Suction side displacement thickness','Scaled sound pressure level']
df.columns=columns
class LassoRegression():
def __init__( self, lr, iterations, l1_penality ):
self.lr = lr
@prashdash112
prashdash112 / image_stitching.py
Created October 30, 2020 06:15
Image stitching for vehicles from a video file
import cv2
import os
from glob2 import glob
os.chdir('C:\\Users\\Prashant\\Desktop\\tensorflow notebooks\\task') # change the directory for folder creation
try:
if not os.path.exists('files'):
os.makedirs('files') #files folder created
except OSError:
print ('Error: Creating file directory')
[
{
"date": "4/20/20",
"state": "San-Francisco",
"category": "Technology,business",
"time": "12:00 AM",
"groupname": "Product School Bangalore",
"name": "Webinar: PM in a Startup Setting by Alexa Product Lead",
"links": "https://www.meetup.com/PS-Bangalore/events/270041842/",
"attendee": "6 Members going"