Naive Bayes Classifier: A Practical Tutorial with Scikit-Learn

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Welcome to our beginner-friendly tutorial on Naive Bayes classification using Scikit-Learn in Python! In this comprehensive guide, we'll walk you through the fundamentals of Naive Bayes, a popular machine learning algorithm, and show you how to implement it with the powerful Scikit-Learn library.

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RyanAndMattDataScience

Love your machine learning vids, keep it up!

sushibooshi

good job my friend! Thank you. It will be very useful if we could use the same dataset you use. I can't find the dataset you work on.

akistsili

import pandas as pd
import numpy as np

num_items = 41
data = {
'City Population': np.random.randint(10000, num_items),
'Continent': np.random.choice(['Asia', 'Europe', 'North America', 'South America'], num_items),
'Venue Capacity': np.random.randint(500, 20000, num_items),
'Day Of Week': np.random.choice(['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'], num_items),
'Multiple Concerts': np.random.randint(0, 2, num_items),
'Sold Out': np.random.randint(0, 2, num_items)
}

pd.DataFrame(data)

EhsanLash

Hello! Love your videos :)

I can't find the source file 'Pearl_Jam_Tour2.csv' to walkthrough with you, can you add it to the description or in a comment?

mohamednasser

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