Python - Classification - Naive Bayes (NB)

Thursday, December 03, 2020

Data:

Questionnaire data from mall visitors contains sex, age, salary & shopping score (200 rows)

Mission:

How to predict the probability of shopping score from given age & salary

Library used:

Pandas
Matplotlib
Scikit

Code:

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.naive_bayes import GaussianNB

url = 'https://raw.githubusercontent.com/kokocamp/vlog101/master/vlog101.csv'
vlog125 = pd.read_csv(url)
vlog125.head()

X = vlog125[['Usia','Gaji (juta)']]
y = vlog125['Skor Belanja (1-100)']

nb = GaussianNB()
nb.fit(X,y)

usia = input("Usia (thn): ")
usia = int(usia)
gaji = input("Gaji (juta): ")
gaji = int(gaji)
data = [usia,gaji]
print("Prediksi Skor Belanja (1-100): ", nb.predict([data]))

plt.scatter(vlog122[['Gaji (juta)']],y, color='green')
plt.scatter(gaji,nb.predict([data]), color='red')

I wrapped the scenario in a Youtube video below.

Click this link (http://paparadit.blogspot.com/2020/11/the-algorithms-of-machine-learning.html), if you want to check out for other algorithms. Thank you for for visiting this blog & subs my channel.

Labels: Programming, Python