Відео

Thank you Pablo

Amazing! Thank you

👏👏

🔥🔥

Your sound is so low even in full volume my guy

Thank you very much for this introductory video i learnt a whole lot God bless you

I also tried to practise on prime numbers and odd numbers it says odd_numbers = find_odd_numbers_in_range not define And also start, end not defined . Please sir how do i go about it

Sir please how do I import the np.array on this topic I tried practicing it on my jupyter notebook it showed error, that np.array not defined

thanks man

Good morning sir! How do I connect to your link without going through slack ?

thanks pablo!

new to your channel

thanks for the info Pablo!

Just coming from LinkedIn. Great insights..

Thank you so much for all of these videos. They have helped me so much and are helping me through a more structure path. I think the issue with the grouping of the ages (37 years falling under class 1) has to do with: affairs_data_1.loc[(affairs_data_1['age'] > 27) & (affairs_data_1['age'] < 32), 'ageClass'] = 'age_class2' using >= for each grouping of the classifications like below fixes the issue affairs_data_1.loc[(affairs_data_1['age'] >= 27) & (affairs_data_1['age'] < 32), 'ageClass'] = 'age_class2' Once again, thank you so much for all you do.

"All these features in the mean, what does this mean" 🙂 well done Pablo. Nice video by the way.

Thanks for this

# Compare 2 lists lst = [2, 23, 47, 56] lst2 = [23, 56, 78] For i in lst: if i not in lst2: print(i) # Do you know what is the result?

Not a python question. What do you use for your screen recording please?

Thanks man!

Great work!!! Keep it up! Want the full playlist soon

firstone😄

Glad to have join this amazing community...

Thanks Pablo

Hi Pablo, I think your screen stopped recording at 5:14

This was fun

This was really helpful at least now I know what I'm looking at

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Thank you pablo❤

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