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import java.util.*; | |
import java.text.CharacterIterator; | |
//Author: John Ifegwu | |
public class Program | |
{ | |
// Determine if set2 is a subset of set1 with Computational Complexity of O(n^ 2) | |
public static boolean isSubset(char[] set1, char[] set2) | |
{ |
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# Author: John Ifegwu | |
import time | |
import math | |
class Node: | |
def __init__(self, key, value, weight): | |
self.key = key | |
self.value = value | |
self.weight = weight |
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import re | |
#Character Classess | |
#email extraction / validation | |
#Email Address | |
pattern = r"([\w\.-]+)@([\w\.-]+)(\.[\w\.]+)" | |
while True: |
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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" |
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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)) |
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<html> | |
<head> | |
<style> | |
.Head | |
{ | |
font-size:67px; | |
width:100%; | |
background:Gray; | |
color:Silver | |
} |
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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 |
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# 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 |
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import java.sql.Timestamp; | |
import java.util.*; | |
import java.lang.Math; | |
//Author: John Ifegwu | |
class Node { | |
int key; |
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<!-- Created by John Ifegwu--> | |
<!DOCTYPE HTML> | |
<html> | |
<header> | |
<style> | |
/* Created by John Ifegwu */ | |
#canvas | |
{ |
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