Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn

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Machine Learning helps you build models that can make predictions and take decisions of their own. This video on Types of Machine Learning and Algorithms will make you understand what Machine Learning is and the various types of Machine Learning. You will learn about Supervised, Unsupervised, and Reinforcement learning. You will know how they work and how to choose the right Machine Learning algorithm. Finally, we'll implement a Machine Learning project/ hands-on demo using Python.
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#TypesOfMachineLearning #MachineLearningAlgorithms #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
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[@awesomeayush3855]

You solved my many doubts in a single video. Thank you

[@aainaspotli2829]

This video has summed up things so well

[@VishalSingh-ru2dz]

Great video. On the slide with the linear regression, it says that the error value is based on perpendicular (or shortest) distance which is incorrect. It’s based on the distance along the Y axis. The error is the error in the output (Y) not the shortest distance.

[@sumerujain3057]

loved the way you taught me...thank you so much for sharing the knowledge...

[@SimplilearnOfficial]

Glad it was helpful!

[@elsaboukehili8404]

Many thanks for this very educational video, it is very well taught and very clear.

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Glad it was helpful!

[@kondisettylavanya3143]

such a nice explanation ,by seeing the video I have learnt this in a simple way THANK YOU SO MUCH.

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You are most welcome

[@akinolalanre7144]

God bless you, sir.

[@SimplilearnOfficial]

Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@Honest_Reply900]

It's very useful. Thanks for the hard work !

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You are welcome!

[@sainimeenakshi2008]

Thank you for this informative video. May I know what app/tool have you used to create this training video?

[@SimplilearnOfficial]

Glad you liked it!

[@shwetachavan8649]

Thank you so much for simple explanation ,waiting for more such videos on AI and ML

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Greetings! Thank you for your kind words. Spread the word by liking, sharing and subscribing to our channel! Cheers :).

[@Salar24]

Best intro to ML video on CZcams ❤

[@danma2848]

The clearest explanation on KNN. Thanks a lot!

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Hello thank you for watching our video .We are glad that we could help you in your learning !

[@parvinamiraslan]

Thank you so much for explaining this in such a simple way.

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Glad it was helpful!

[@Juzz_RSA]

❤️❤️❤️🔥🔥 thank you for the information and knowledge

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You are so welcome

[@awwad222]

Thank you sir. The information was very useful.

[@SimplilearnOfficial]

Glad it was helpful!

[@NinjaCoders]

Thanks bro your teaching is amazing.

[@SimplilearnOfficial]

Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@jumazevick5143]

You are good!!!! I love this explanation.

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Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

[@tanya5142]

Very well explained!! Thx!! 😊

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[@minamollaee8558]

Thank you, that was quite helpful

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[@I_am_The_No_One]

Great explaination ❤️❤️

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Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

[@sophies674]

🎉🎊🎉🎊 very nice 👍 presentation and 🎉👋👋 explained very well

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Thank you! Cheers!

[@anish1981]

Nice content covered well

[@abdullahafaq2544]

Best Sir G

[@jakkasjiya]

Superb explanation

[@SimplilearnOfficial]

Thank you 🙂

[@statura3887]

Modern material about machine learning. Informative and relevant.

[@SimplilearnOfficial]

True that! Thanks for watching our video.

[@Al-meertechnology]

🎉 thank you its useful

[@dakshrohilla5009]

Helped a lot

[@SimplilearnOfficial]

We are glad that you have enjoyed your learning experience with us : )

[@faisaltasleemft]

Very gud brief summary

[@SimplilearnOfficial]

Hello thank you for watching our video .We are glad that we could help you in your learning !

[@coderprakash]

Which algorithm is used for theft detection using computer vision?

[@SimplilearnOfficial]

Hi there are many algorithms but the CNN algorithm is one of them we can use for theft detection using computer vision.

[@DeepFrydTurd]

Good teacher :)

[@SimplilearnOfficial]

Thank you! 😃

[@RaviKumar-kz2tf]

very good explanation

[@SimplilearnOfficial]

Hello thank you for watching our video .We are glad that we could help you in your learning !

[@RishiSharma-by5iz]

Thank you

[@SimplilearnOfficial]

You're welcome

[@sandipansarkar9211]

finished watching

[@SimplilearnOfficial]

Hello thank you for watching our video .We are glad that we could help you in your learning !

[@vidhyalakshmiparthasarathy8573]

It's a good video. Thank You for it.

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Glad you liked it!

[@dineshteja8672]

Didi want ai and machine learning python series

[@AvinashSingh-vj3rk]

Nice video

[@SimplilearnOfficial]

Thanks!

[@frederikpedersen4396]

First of all, great video! Just a quick note: in the word "probability", you want to put the stress on "bility", so it's prob-a-bility.
Other than that, really good stuff!

[@SimplilearnOfficial]

Thanks for the tips!

[@bobmadison3167]

Great video. At the 7:23 point you have "Its" instead of "It's." Its is the possessive pronoun and it's is the contraction for it is. This is a common error, but does not detract from the excellent information.

[@SimplilearnOfficial]

Thank you for bringing this to our attention. We’re sorry you had a bad experience. We’ll strive to do better

[@narsingojudharanmohan8a38]

Is there any e book for this course

[@SimplilearnOfficial]

Hi Dharan, you can check out the best books for machine learning from this video: czcams.com/video/lXvPopmYJ5E/video.html

[@alamzebkhan317]

Sir, can i get the presentation please?
I need the presentation Sir,

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For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"