Divyansh Bhardwaj Dbhardwaj99

## lab_6.py
# Question 1
list1 = []
for i in range(20):
    if i % 2 == 0 or i % 4 == 0:
        list1.append(i)


# Question 2
def square(x):
    return x ** 2

## recomendation.ipynb

      
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                Dbhardwaj99
                / recomendation.ipynb
            
            
              Created
              December 2, 2022 12:26
            
          
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## recomendation.py
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

# Load the data for the recommendation system
data = pd.read_csv("posts.csv")

# Select the relevant columns for the ML model
X = data[["hashtags", "time_spent"]]

## connnection
import socket

# Create a socket object
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

# Get the local machine name
host = socket.gethostname()

# Set the port number
port = 12345
	# Question 1
	list1 = []
	for i in range(20):
	if i % 2 == 0 or i % 4 == 0:
	list1.append(i)


	# Question 2
	def square(x):
	return x ** 2
	import pandas as pd
	from sklearn.model_selection import train_test_split
	from sklearn.neighbors import KNeighborsClassifier

	# Load the data for the recommendation system
	data = pd.read_csv("posts.csv")

	# Select the relevant columns for the ML model
	X = data[["hashtags", "time_spent"]]
	import socket

	# Create a socket object
	s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

	# Get the local machine name
	host = socket.gethostname()

	# Set the port number
	port = 12345