Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1

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This is part 1 of naive bayes classifier algorithm machine learning tutorial. Naive bayes theorm uses bayes theorm for conditional probability with a naive assumption that the features are not correlated to each other and tries to find conditional probability of target variable given the probabilities of features. We will use titanic survival dataset here and using naive bayes classifier find out the survival probability of titanic travellers. We use sklearn library and python for this beginners machine learning tutorial. GaussianNB is the classifier we use to train our model. There are other classifiers such as MultinomialNB but we will use that in part 2 of the tutorial.

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Topics that are covered in this Video:
00:00 introduction
00:19 Basics of probability
00:52 Conditional probability
01:52 Bayes theorm
04:37 Coding: titanic crash survival
10:00 GaussianNB classifier

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Great things is that - you recommend other people's channel as well. It seems u r just trying to make people learn something no matter whose channel.
Respect🙏🙏

agvlogs

This is the first time I am exploring machine learning and Python, I have never tried to learn Python.
But your tutorials are just awesome, it is much easier to learn and understand the concepts.
Great Work!❤👏

Marshall_Mohammed

thanks a lot sir, for your great support, I started my data science path through your videos really great mentor, altruistic human being i am proud of you sir!!

prakharmishra

Great to see you back with a new tutorial. Your idea of first explaining theory then going to practical is awesome. That's awesome.

flamboyantperson

I think you are the best teacher. Thanks to you, I am learning data science. I hope I can find a job in this field. Greetings from Turkey.❤🤩

ZEHRAİLKAYASLAN

Great intro. For the last line of code in notebook, I think we shall use X, y instead bc now it's time for full model evaluation:
np.mean(cross_val_score(GaussianNB(), X, y, cv = 5))

levyax

Simplicity is the ultimate sophistication. You are amazing!

ashish-blessings

We need more tutorials on deep learning and start a new AI tutorials. Your machine learning tutorials are really good

midhunskani

This is the best tutorial on you tube. I understand concepts easily.

ayushibansal

Your Playlists worked as Revision before my interview. Thank You for your support

aryanverma

Sir, I got one doubt here that, since you have created dummies in this project, you should drop the first dummy column, in order to avoid Multi-colinearity. Please revert back with your comments if I am wrong

ravikumarrai

Your teaching skills are best. Please continue this series and covers all topics of ML. If not possible, then plz provide link so that we can study. There is no channel which teaches ML the way you are. Hope, you will come to INDIA and do your dream job "Organic farming "

deepanshuaggarwal

I found that RandomForest classifier performs slightly better than Naive bayes model. anw, love your tutorials, thank u for your hard works :)

zananpech

That was the best ever tutorial I watched about naive bayes.... Thank you so much ❤

sreesai

You are fantastic! If you were a lecturer you would be the one everyone likes!

LSQD

You are doing wonderful job ...really learnt a lot from your videos

milindprakash

You really know how to explain jargons in simple language. Thanks a lot

geeksfornongeeks

you are the best man. I am being not Naive.

MDNAZMUNHASANNAFEES-yzvq

Good keep doing these AI videos, i liked it good to see the flow of functions in single video.

AmanSingh-bkum

Hello,
Thanks for the explanation.
I was wondering dont we need to normalize the data? Let me know your thoughts on this.

jepsmyt

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