Machine Learning AI machinelearning147

## agreagate-dictionaries-with-common-keys.ipynb

      
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                agreagate dictionaries with common keys.ipynb
              
          
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## how-to-create-github-pull-request.ipynb

      
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              March 11, 2022 12:15
            
              
                How to create Github Pull Request.ipynb
              
          
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## compute-natuuur-logorithm.ipynb

      
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              August 17, 2021 15:02
            
              
                Compute Natural Logorithm.ipynb
              
          
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## compute-natuuur-logorithm.ipynb

      
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                Compute Natural Logorithm.ipynb
              
          
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## aws_instance_advisor_pyscpraping.ipynb

      
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              June 13, 2021 15:58
            
              
                aws_instance_advisor_pyscpraping.ipynb
              
          
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## aws_instance_advisor_pyscpraping.ipynb

      
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              June 13, 2021 11:13
            
              
                aws_instance_advisor_pyscpraping.ipynb
              
          
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## gradient-descent-intutive-understanding.ipynb

      
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              August 8, 2019 04:32
            
              
                Gradient Descent Intutive understanding
              
          
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## simple_cameratest_opencv.py
# usage:
# python simple_cameratest_opencv.py 1
import numpy as np
import cv2
import sys

n = sys.argv[1]

cap = cv2.VideoCapture(int(n))

## build_face_dataset.py
# USAGE
# python build_face_dataset.py --cascade haarcascade_frontalface_default.xml --output dataset/shravan

# import the necessary packages
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import os

## face_detect_from_camera.py
import cv2
import matplotlib.pyplot as plt
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

webcam=cv2.VideoCapture(1)
cv2.namedWindow("faceWindow", cv2.WINDOW_GUI_NORMAL)
PADDING = 10
try:
	# usage:
	# python simple_cameratest_opencv.py 1
	import numpy as np
	import cv2
	import sys

	n = sys.argv[1]

	cap = cv2.VideoCapture(int(n))
	# USAGE
	# python build_face_dataset.py --cascade haarcascade_frontalface_default.xml --output dataset/shravan

	# import the necessary packages
	from imutils.video import VideoStream
	import argparse
	import imutils
	import time
	import cv2
	import os
	import cv2
	import matplotlib.pyplot as plt
	import numpy as np

	face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

	webcam=cv2.VideoCapture(1)
	cv2.namedWindow("faceWindow", cv2.WINDOW_GUI_NORMAL)
	PADDING = 10
	try: