John Ifegwu johnifegwu

## Sugar_Diabetes_Predictions.py
# my first neural network with keras
# requires that TensorFlow or Theano be installed
from numpy import loadtxt
from keras.models import Sequential
from keras.layers import Dense
from keras.models import model_from_json
import numpy
import os

# fix random seed for reproducibility

## prima-indians-diabetes.csv

          
            6
            148
            72
            35
            0
            33.6
            0.627
            50
            1

            
              1
              85
              66
              29
              0
              26.6
              0.351
              31
              0

            
              8
              183
              64
              0
              0
              23.3
              0.672
              32
              1

            
              1
              89
              66
              23
              94
              28.1
              0.167
              21
              0

            
              0
              137
              40
              35
              168
              43.1
              2.288
              33
              1

            
              5
              116
              74
              0
              0
              25.6
              0.201
              30
              0

            
              3
              78
              50
              32
              88
              31.0
              0.248
              26
              1

            
              10
              115
              0
              0
              0
              35.3
              0.134
              29
              0

            
              2
              197
              70
              45
              543
              30.5
              0.158
              53
              1

            
              8
              125
              96
              0
              0
              0.0
              0.232
              54
              1

## machine_learning.py
from numpy import exp, array, random, dot

class neural_network:
    def __init__(self):
        random.seed(1)
        # We model a single neuron, with 3 inputs and 1 output and assign random weight.
        self.weights = 2 * random.random((3, 1)) - 1

    def __sigmoid(self, x):
        return 1 / (1 + exp(-x))

## Passport Number_Extraction_and_Validation.py
import re
#Character Classess

#Passport number
pattern = r"[A-Za-z][0-9][0-9][0-9][0-9][0-9][0-9][0-9][0-9]"

while True:
    num = "Last Name: Doe \n"
    num += "Other names: John \n"
    num += "DOB:22-Jan-1990 \n"

## email_extraction_&_validation.py
import re
#Character Classess

#email extraction / validation


#Email Address
pattern = r"([\w\.-]+)@([\w\.-]+)(\.[\w\.]+)"

while True:
	# my first neural network with keras
	# requires that TensorFlow or Theano be installed
	from numpy import loadtxt
	from keras.models import Sequential
	from keras.layers import Dense
	from keras.models import model_from_json
	import numpy
	import os

	# fix random seed for reproducibility
6	148	72	35	0	33.6	0.627	50	1
1	85	66	29	0	26.6	0.351	31	0
8	183	64	0	0	23.3	0.672	32	1
1	89	66	23	94	28.1	0.167	21	0
0	137	40	35	168	43.1	2.288	33	1
5	116	74	0	0	25.6	0.201	30	0
3	78	50	32	88	31.0	0.248	26	1
10	115	0	0	0	35.3	0.134	29	0
2	197	70	45	543	30.5	0.158	53	1
8	125	96	0	0	0.0	0.232	54	1
	from numpy import exp, array, random, dot

	class neural_network:
	def __init__(self):
	random.seed(1)
	# We model a single neuron, with 3 inputs and 1 output and assign random weight.
	self.weights = 2 * random.random((3, 1)) - 1

	def __sigmoid(self, x):
	return 1 / (1 + exp(-x))
	import re
	#Character Classess

	#Passport number
	pattern = r"[A-Za-z][0-9][0-9][0-9][0-9][0-9][0-9][0-9][0-9]"

	while True:
	num = "Last Name: Doe \n"
	num += "Other names: John \n"
	num += "DOB:22-Jan-1990 \n"
	import re
	#Character Classess

	#email extraction / validation


	#Email Address
	pattern = r"([\w\.-]+)@([\w\.-]+)(\.[\w\.]+)"

	while True: