-
Naive Bayes, Clearly Explained!!!
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, you'll no longer be naive about Naive Bayes!!!
Get the StatQuest Study Guide here: https://statquest.org/statquest-store/
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membersh...
published: 03 Jun 2020
-
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example Mahesh Huddar
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example by Mahesh Huddar
Here there are 14 training examples of the target concept PlayTennis, where each day is described by the attributes Outlook, Temperature, Humidity, and Wind.
Here we use the naive Bayes classifier and the training data from this table to classify the following novel instance: (Outlook=Sunny, Temp=Cool, Humidity=High, Wind= Strong)
How to use Naive Bayes rule to check whether the Patient has Cancer or Not: https://youtu.be/ytO3Iq_tOno
Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes S...
published: 06 Dec 2020
-
Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example | Simplilearn
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-...
published: 10 Apr 2018
-
The Math Behind Bayesian Classifiers Clearly Explained!
In this video, I've explained the math behind Bayes classifiers with an example. I've also covered the Naive Bayes model.
#machinelearning #datascience
For more videos please subscribe -
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Support me if you can ❤️
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The math behind GANs -
https://youtu.be/Gib_kiXgnvA
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published: 22 Jul 2020
-
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Guys there were some issue in the previous video. So I have reuploaded it. Sorry for the trouble.
In probability theory and statistics, Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
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published: 20 Apr 2020
-
Naive Bayes classifier: A friendly approach
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A visual description of Bayes' Theorem and the Naive Bayes algorithm, and an application to spam detection.
No previous knowledge is needed, aside from knowing how to multiply and divide, a visual mind and a desire to learn.
For a code implementation, check out this repo:
https://github.com/luisguiserrano/manning/tree/master/Chapter_8_Naive_Bayes
0:00 Introduction
0:39 Spam Detector
4:59 Problem
10:34 Naive Bayes Classifier
17:00 Bayes Theorem
published: 11 Feb 2019
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Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
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.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLea...
published: 16 Nov 2019
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Why Is Naive Bayes Naive - Intro to Machine Learning
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst.
You can check out the full details of the program here: https://www.udacity.com/course/nd002.
published: 23 Feb 2015
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Naive bayes classifier explained for beginners
Naive bayes classifier explained for beginners - In this video, we will explore the fundamental concepts behind Naive Bayes, including Bayes Theorem, probability and conditional probability, and how they all come together to form the Naive Bayes algorithm. We will also take a look at the different types of Naive Bayes classifiers and their unique features, as well as the various applications in real-world scenarios. By the end of this video, you'll have a solid understanding of Naive Bayes and its practical uses in the world of data science
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published: 30 Apr 2023
-
Gaussian Naive Bayes, Clearly Explained!!!
Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will clear up all your doubts in a jiffy!
NOTE: This StatQuest assumes that you are already familiar with...
Multinomial Naive Bayes: https://youtu.be/O2L2Uv9pdDA
The Log Function: https://youtu.be/VSi0Z04fWj0
The Normal Distribution: https://youtu.be/rzFX5NWojp0
The difference between Probability and Likelihood: https://youtu.be/pYxNSUDSFH4
Cross Validation: https://youtu.be/fSytzGwwBVw
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad...
published: 03 Jun 2020
15:12
Naive Bayes, Clearly Explained!!!
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually q...
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, you'll no longer be naive about Naive Bayes!!!
Get the StatQuest Study Guide here: https://statquest.org/statquest-store/
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
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...buying one or two of my songs (or go large and get a whole album!)
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...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:08 Histograms and conditional probabilities
4:22 Classifying "Dear Friend"
7:33 Review of concepts
9:00 Classifying "Lunch Money x 5"
10:54 Pseudocounts
12:35 Why Naive Bayes is Naive
#statquest #naivebayes
https://wn.com/Naive_Bayes,_Clearly_Explained
When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, you'll no longer be naive about Naive Bayes!!!
Get the StatQuest Study Guide here: https://statquest.org/statquest-store/
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:08 Histograms and conditional probabilities
4:22 Classifying "Dear Friend"
7:33 Review of concepts
9:00 Classifying "Lunch Money x 5"
10:54 Pseudocounts
12:35 Why Naive Bayes is Naive
#statquest #naivebayes
- published: 03 Jun 2020
- views: 1074863
8:42
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example Mahesh Huddar
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example by Mahesh Huddar
Here there are 14 training examples of the target concept...
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example by Mahesh Huddar
Here there are 14 training examples of the target concept PlayTennis, where each day is described by the attributes Outlook, Temperature, Humidity, and Wind.
Here we use the naive Bayes classifier and the training data from this table to classify the following novel instance: (Outlook=Sunny, Temp=Cool, Humidity=High, Wind= Strong)
How to use Naive Bayes rule to check whether the Patient has Cancer or Not: https://youtu.be/ytO3Iq_tOno
Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs
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https://wn.com/1._Solved_Example_Naive_Bayes_Classifier_To_Classify_New_Instance_Playtennis_Example_Mahesh_Huddar
1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example by Mahesh Huddar
Here there are 14 training examples of the target concept PlayTennis, where each day is described by the attributes Outlook, Temperature, Humidity, and Wind.
Here we use the naive Bayes classifier and the training data from this table to classify the following novel instance: (Outlook=Sunny, Temp=Cool, Humidity=High, Wind= Strong)
How to use Naive Bayes rule to check whether the Patient has Cancer or Not: https://youtu.be/ytO3Iq_tOno
Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs
naive Bayes theorem in machine learning,
naive Bayes theorem in dmdw,
naive Bayes theorem explained,
naive Bayes rule example,
maximum a posteriori estimation,
maximum a posteriori hypothesis,
maximum a posteriori (map) estimation,
maximum a posteriori vs maximum likelihood,
maximum a posteriori (map),
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brute force map learning algorithm,
brute force map hypothesis,
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Bayes classifier play tennis,
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naive Bayes classifier numerical example,
Bayes optimal classifier numerical example
- published: 06 Dec 2020
- views: 1062689
43:45
Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example | Simplilearn
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=l3dZ6ZNFjo0&utm_medium=Description...
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
This Naive Bayes Classifier tutorial video will introduce you to the basic concepts of Naive Bayes classifier, what the Naive Bayes algorithm is and Bayes theorem in general. You will understand conditional probability concepts, where the Naive Bayes classifier is used and how the Naive Bayes algorithm works. By the end of this video, you will also implement the Naive Bayes algorithm for text classification in Python.
Dataset Link - https://drive.google.com/drive/folders/1yqGMb98BG2rdP2CP8o6dipuZBt7Hexfd
The topics covered in this Naive Bayes video are as follows:
00:00 - 01:06 Introduction and Agenda
01:06 - 05:45 What is Naive Bayes?
05:45 - 06:30 Why do we need Naive Bayes?
06:30 - 20:17 Understanding Naive Bayes Classifier
20:17 - 22:36 Advantages of Naive Bayes Classifier
22:36 - 43:45 Demo - Text Classification using Naive Bayes
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
For a more detailed understanding on Naive Bayes Classifier, do visit: https://bit.ly/2DHxctD
You can also go through the Slides here: https://goo.gl/Cw9wqy
#NaiveBayesClassifer #NaiveBayes #NaiveBayesAlgorithm #NaiveBayesInMachineLearning #NaiveBayesMachineLearning #NaiveBayesClassiferExample #MachineLearningAlgoithms #MachineLearning #Simplilearn
What is Naive Bayes Classifier?
Naive Bayes is a supervised learning algorithm that is based on applying Bayes’ theorem with the “naive” assumption. The Bayes Rule gives the formula for the probability of Y given X. It is called Naive because of the naive assumption that the X’s are independent of each other.
➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization
👉Learn more at: https://bit.ly/3fouyY0
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
https://wn.com/Naive_Bayes_Classifier_|_Naive_Bayes_Algorithm_|_Naive_Bayes_Classifier_With_Example_|_Simplilearn
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=l3dZ6ZNFjo0&utm_medium=DescriptionFirstFold&utm_source=Youtube
This Naive Bayes Classifier tutorial video will introduce you to the basic concepts of Naive Bayes classifier, what the Naive Bayes algorithm is and Bayes theorem in general. You will understand conditional probability concepts, where the Naive Bayes classifier is used and how the Naive Bayes algorithm works. By the end of this video, you will also implement the Naive Bayes algorithm for text classification in Python.
Dataset Link - https://drive.google.com/drive/folders/1yqGMb98BG2rdP2CP8o6dipuZBt7Hexfd
The topics covered in this Naive Bayes video are as follows:
00:00 - 01:06 Introduction and Agenda
01:06 - 05:45 What is Naive Bayes?
05:45 - 06:30 Why do we need Naive Bayes?
06:30 - 20:17 Understanding Naive Bayes Classifier
20:17 - 22:36 Advantages of Naive Bayes Classifier
22:36 - 43:45 Demo - Text Classification using Naive Bayes
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
For a more detailed understanding on Naive Bayes Classifier, do visit: https://bit.ly/2DHxctD
You can also go through the Slides here: https://goo.gl/Cw9wqy
#NaiveBayesClassifer #NaiveBayes #NaiveBayesAlgorithm #NaiveBayesInMachineLearning #NaiveBayesMachineLearning #NaiveBayesClassiferExample #MachineLearningAlgoithms #MachineLearning #Simplilearn
What is Naive Bayes Classifier?
Naive Bayes is a supervised learning algorithm that is based on applying Bayes’ theorem with the “naive” assumption. The Bayes Rule gives the formula for the probability of Y given X. It is called Naive because of the naive assumption that the X’s are independent of each other.
➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization
👉Learn more at: https://bit.ly/3fouyY0
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
- published: 10 Apr 2018
- views: 219622
11:53
The Math Behind Bayesian Classifiers Clearly Explained!
In this video, I've explained the math behind Bayes classifiers with an example. I've also covered the Naive Bayes model.
#machinelearning #datascience
For mo...
In this video, I've explained the math behind Bayes classifiers with an example. I've also covered the Naive Bayes model.
#machinelearning #datascience
For more videos please subscribe -
http://bit.ly/normalizedNERD
Support me if you can ❤️
https://www.paypal.com/paypalme2/suji04
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The math behind GANs -
https://youtu.be/Gib_kiXgnvA
Source code -
https://github.com/Suji04/NormalizedNerd/tree/master/Created%20with%20MANIM
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https://wn.com/The_Math_Behind_Bayesian_Classifiers_Clearly_Explained
In this video, I've explained the math behind Bayes classifiers with an example. I've also covered the Naive Bayes model.
#machinelearning #datascience
For more videos please subscribe -
http://bit.ly/normalizedNERD
Support me if you can ❤️
https://www.paypal.com/paypalme2/suji04
https://www.buymeacoffee.com/normalizednerd
The math behind GANs -
https://youtu.be/Gib_kiXgnvA
Source code -
https://github.com/Suji04/NormalizedNerd/tree/master/Created%20with%20MANIM
3blue1brown -
https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
Facebook -
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Instagram -
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- published: 22 Jul 2020
- views: 90533
15:55
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Guys there were some issue in the previous video. So I have reuploaded it. Sorry for the trouble.
In probability theory and statistics, Bayes' theorem describe...
Guys there were some issue in the previous video. So I have reuploaded it. Sorry for the trouble.
In probability theory and statistics, Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
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https://wn.com/Tutorial_48_Naive_Bayes'_Classifier_Indepth_Intuition_Machine_Learning
Guys there were some issue in the previous video. So I have reuploaded it. Sorry for the trouble.
In probability theory and statistics, Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
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Please do subscribe my other channel too
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- published: 20 Apr 2020
- views: 332441
20:29
Naive Bayes classifier: A friendly approach
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A visual description of Bayes' Theorem and th...
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A visual description of Bayes' Theorem and the Naive Bayes algorithm, and an application to spam detection.
No previous knowledge is needed, aside from knowing how to multiply and divide, a visual mind and a desire to learn.
For a code implementation, check out this repo:
https://github.com/luisguiserrano/manning/tree/master/Chapter_8_Naive_Bayes
0:00 Introduction
0:39 Spam Detector
4:59 Problem
10:34 Naive Bayes Classifier
17:00 Bayes Theorem
https://wn.com/Naive_Bayes_Classifier_A_Friendly_Approach
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A visual description of Bayes' Theorem and the Naive Bayes algorithm, and an application to spam detection.
No previous knowledge is needed, aside from knowing how to multiply and divide, a visual mind and a desire to learn.
For a code implementation, check out this repo:
https://github.com/luisguiserrano/manning/tree/master/Chapter_8_Naive_Bayes
0:00 Introduction
0:39 Spam Detector
4:59 Problem
10:34 Naive Bayes Classifier
17:00 Bayes Theorem
- published: 11 Feb 2019
- views: 144629
13:38
Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
This is part 1 of naive bayes classifier algorithm machine learning tutorial. Naive bayes theorm uses bayes theorm for conditional probability with a naive assu...
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.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #NaiveBayes #sklearntutorials #scikitlearntutorials
Code: https://github.com/codebasics/py/blob/master/ML/14_naive_bayes/14_naive_bayes_1_titanic_survival_prediction.ipynb
Naive bayes theory video: https://www.youtube.com/watch?v=Q8l0Vip5YUw
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.
Exercise solution: https://github.com/codebasics/py/blob/master/ML/14_naive_bayes/Exercise/14_naive_bayes_exercise.ipynb
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
Next Video:
Machine Learning Tutorial Python - 15: Naive Bayes Part 2: https://www.youtube.com/watch?v=nHIUYwN-5rM&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=16
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Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1
Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8
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Scikit learn tutorials
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Machine learning with scikit learn tutorials
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https://wn.com/Machine_Learning_Tutorial_Python_14_Naive_Bayes_Classifier_Algorithm_Part_1
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.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #NaiveBayes #sklearntutorials #scikitlearntutorials
Code: https://github.com/codebasics/py/blob/master/ML/14_naive_bayes/14_naive_bayes_1_titanic_survival_prediction.ipynb
Naive bayes theory video: https://www.youtube.com/watch?v=Q8l0Vip5YUw
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.
Exercise solution: https://github.com/codebasics/py/blob/master/ML/14_naive_bayes/Exercise/14_naive_bayes_exercise.ipynb
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
Next Video:
Machine Learning Tutorial Python - 15: Naive Bayes Part 2: https://www.youtube.com/watch?v=nHIUYwN-5rM&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=16
Populor Playlist:
Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV
Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg
Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1
Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8
Tools and Libraries:
Scikit learn tutorials
Sklearn tutorials
Machine learning with scikit learn tutorials
Machine learning with sklearn tutorials
🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description
Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.
#️⃣ Social Media #️⃣
🔗 Discord: https://discord.gg/r42Kbuk
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- published: 16 Nov 2019
- views: 236253
1:46
Why Is Naive Bayes Naive - Intro to Machine Learning
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as ...
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst.
You can check out the full details of the program here: https://www.udacity.com/course/nd002.
https://wn.com/Why_Is_Naive_Bayes_Naive_Intro_To_Machine_Learning
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst.
You can check out the full details of the program here: https://www.udacity.com/course/nd002.
- published: 23 Feb 2015
- views: 106474
5:02
Naive bayes classifier explained for beginners
Naive bayes classifier explained for beginners - In this video, we will explore the fundamental concepts behind Naive Bayes, including Bayes Theorem, probabilit...
Naive bayes classifier explained for beginners - In this video, we will explore the fundamental concepts behind Naive Bayes, including Bayes Theorem, probability and conditional probability, and how they all come together to form the Naive Bayes algorithm. We will also take a look at the different types of Naive Bayes classifiers and their unique features, as well as the various applications in real-world scenarios. By the end of this video, you'll have a solid understanding of Naive Bayes and its practical uses in the world of data science
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https://wn.com/Naive_Bayes_Classifier_Explained_For_Beginners
Naive bayes classifier explained for beginners - In this video, we will explore the fundamental concepts behind Naive Bayes, including Bayes Theorem, probability and conditional probability, and how they all come together to form the Naive Bayes algorithm. We will also take a look at the different types of Naive Bayes classifiers and their unique features, as well as the various applications in real-world scenarios. By the end of this video, you'll have a solid understanding of Naive Bayes and its practical uses in the world of data science
Subscribe for more Artificial Intelligence based content: https://www.youtube.com/@ai.explored?sub_confirmation=1
Share this video with a friend: https://youtu.be/ny1egBSrsTc
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- published: 30 Apr 2023
- views: 3046
9:26
Gaussian Naive Bayes, Clearly Explained!!!
Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will c...
Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will clear up all your doubts in a jiffy!
NOTE: This StatQuest assumes that you are already familiar with...
Multinomial Naive Bayes: https://youtu.be/O2L2Uv9pdDA
The Log Function: https://youtu.be/VSi0Z04fWj0
The Normal Distribution: https://youtu.be/rzFX5NWojp0
The difference between Probability and Likelihood: https://youtu.be/pYxNSUDSFH4
Cross Validation: https://youtu.be/fSytzGwwBVw
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:00 Creating Gaussian distributions from Training Data
2:34 Classification example
4:46 Underflow and Log() function
7:27 Some variables have more say than others
Corrections:
3:42 I said 10 grams of popcorn, but I should have said 20 grams of popcorn given that they love Troll 2.
#statquest #naivebayes
https://wn.com/Gaussian_Naive_Bayes,_Clearly_Explained
Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will clear up all your doubts in a jiffy!
NOTE: This StatQuest assumes that you are already familiar with...
Multinomial Naive Bayes: https://youtu.be/O2L2Uv9pdDA
The Log Function: https://youtu.be/VSi0Z04fWj0
The Normal Distribution: https://youtu.be/rzFX5NWojp0
The difference between Probability and Likelihood: https://youtu.be/pYxNSUDSFH4
Cross Validation: https://youtu.be/fSytzGwwBVw
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:00 Creating Gaussian distributions from Training Data
2:34 Classification example
4:46 Underflow and Log() function
7:27 Some variables have more say than others
Corrections:
3:42 I said 10 grams of popcorn, but I should have said 20 grams of popcorn given that they love Troll 2.
#statquest #naivebayes
- published: 03 Jun 2020
- views: 345558