Find-S algorithm

Find-S algorithm program in machine learning.

 import pandas as pd
import numpy as np

 data=pd.read_csv('finds.csv')

 con=np.array(data.iloc[:,0:-1])
target=np.array(data.iloc[:,-1])

 def train(con,target):
    for i,val in enumerate(target):
        if val=="Yes":
            spec=con[i]
            break
            
    for i,h in enumerate(con):
        if target[i]=="Yes":
            for x in range(len(spec)):
                if h[x]==spec[x]:
                    pass
                else:
                    spec[x]="?"
    return spec

 print(train(con,target))
=============================

 Data Sets->
Sky,Airtemp,Humidity,Wind,Water,Forecast,WaterSport
Sunny,Warm,Normal,Strong,Warm,Same,Yes
Sunny,Warm,High,Strong,Warm,Same,Yes
Cloudy,Cold,High,Strong,Warm,Change,No
Sunny,Warm,High,Strong,Cool,Change,Yes


Output->
['Sunny' 'Warm' '?' 'Strong' '?' '?']

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