Making your home learn

Once this constitution is done, go ahead and wire it up, as shown here:

Once that is set, it is time for us to write the following code on to our Raspberry Pi:

import Adafruit_DHT
import datetime
import RPi.GPIO as GPIO
import time
import numpy as np
import pandas as pd
import Adafruit_DHT
from sklearn.neighbors import KNeighborsClassifier

GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)

fan = 22
light = 23
sw1 = 13
sw2 = 14

GPIO.setup(led1,GPIO.OUT)
GPIO.setup(led2,GPIO.OUT)
GPIO.setup(sw1,GPIO.IN)
GPIO.setup(sw2,GPIO.IN)

sensor = 11
pin = 2


f = open("dataset.csv","a+")
count = 0
while count < 50:

 data = ""

 H = datetime.datetime.now().strftime('%H')
 M = datetime.datetime.now().strftime('%M')

 data = str(H)+"."+str(M)
 humidity,temperature = Adafruit_DHT.read_retry(sensor,pin)
 data = data + "," + str(temperature)

prev_state = state

 if (GPIO.input(sw1) == 0) and (GPIO.input(sw2) == 0):
     state = 0
     GPIO.output(light,GPIO.LOW)
     GPIO.output(fan...