Techy43

import cv2

# Load an image
img = cv2.imread("test.jpg")   # keep test.jpg in same folder

# Resize image to fit on screen
img = cv2.resize(img, (800, 600))

# Convert to gray scale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Techy43

print("Input x=")
x = float(input())

print("Weight w=")
w = float(input())

print("Bias b=")
b = float(input())

yin = b + x * w

Techy43

!pip install gensim matplotlib scikit-learn

from gensim.models import Word2Vec
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt

sentences = [
    ["students", "love", "python"],
    ["teachers", "guide", "students"],
    ["college", "life", "is", "fun"],

Techy43

PARAMETERS: p_fname TYPE string,
p_mname TYPE string,
p_lname TYPE string.
DATA: lv_withspace    TYPE string,
lv_withoutspace TYPE string,
lv_condensed    TYPE string.
DATA: lv_len_fname TYPE i,
lv_len_mname TYPE i,
lv_len_lname TYPE i,
lv_len_final TYPE i.