ahmedazizkhelifi

from google.colab import files
uploaded = files.upload()
## test.csv(application/vnd.ms-excel) - 28629 bytes, last modified: 11/12/2019 - 100% done
## train.csv(application/vnd.ms-excel) - 61194 bytes, last modified: 11/12/2019 - 100% done
import io
train = pd.read_csv(io.BytesIO(uploaded['train.csv']))
test = pd.read_csv(io.BytesIO(uploaded['test.csv']))

ahmedazizkhelifi

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

ahmedazizkhelifi

class DecisionNode(Node):
    def __init__(self,label,distr,threshold ,left = None,right = None):
        Node.__init__(self,label,left,right)
        self.threshold = threshold
        self.distr = distr
    def __str__(self):
        L = self.linearize()
        s = ""
        for e in L:
            s += "IF "

ahmedazizkhelifi

Blood Pressure	Age	Tachycardia	Decision
110	50	1	0
119	36	0	0
82	72	0	1
81	70	0	1
56	50	1	1

ahmedazizkhelifi

class Node:
  def __init__(self,val,leftNote = None, rightNode = None):
    self.label = val
    self.left = leftNote
    self.right = rightNode
  def isLeaf(self):
      return self.left == None and self.right == None
  def __str__(self):
      if self.isLeaf():
        return "Node({})".format(self.label)

ahmedazizkhelifi

def iterative_factorial(n):
    f = 1
    for i in range(2, n+1):
        f *= i
    return f

ahmedazizkhelifi

def recursive_factorial(n):
    if n <= 1:
        return 1
    else:
        return n*recursive_factorial(n-1)

ahmedazizkhelifi

def recursive_factorial(n):
    return n*recursive_factorial(n-1)

ahmedazizkhelifi

# 1) conventional syntax:
dict1={}
for user in Users:
    dict1.update({user['name']:user['salary']})
print (dict1)  #>>> {'Ahmed': 1200, 'Aziz': 1800, 'Khelifi': 820}
 
# 2) Dict comprehesion:
dict2 = {user['name'] : user['salary'] for user in Users }
print(dict2) #>>> {'Ahmed': 1200, 'Aziz': 1800, 'Khelifi': 820}

ahmedazizkhelifi

# 1) conventional syntax:
dict1={}
for user in Users:
    dict1.update({user['name']:user['salary']})
print (dict1)  #>>> {'Ahmed': 1200, 'Aziz': 1800, 'Khelifi': 820}
 
# 2) Dict comprehesion:
dict2 = {user['name'] : user['salary'] for user in Users }
print(dict2) #>>> {'Ahmed': 1200, 'Aziz': 1800, 'Khelifi': 820}