Naive Bayes Classifier: A Practical Tutorial with Scikit-Learn

[@RyanAndMattDataScience]

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[@akistsili8574]

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.

[@sushibooshi]

Love your machine learning vids, keep it up!

[@RyanAndMattDataScience]

Thanks

[@mohamednasser609]

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?

[@EhsanLash]

import pandas as pd
import numpy as np
num_items = 41
data = {
'City Population': np.random.randint(10000, 1000000, 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)

[@misterx3321]

Awesome work!

[@RyanAndMattDataScience]

Thanks for checking it out!

[@KL1_Khaled]

Thank you 🌹

[@RyanAndMattDataScience]

No problem

[@JC_333]

Like

[@RyanAndMattDataScience]

Appreciate it!