1. Candidate Elimination Algorithm | Solved Example - 1 | Machine Learning by Mahesh Huddar

[@MaheshHuddar]

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[@karthik3778]

Thank you sir, my teacher did this in one class and he doesn't even teach the complete concept.

[@vishnudas3966]

They never do

[@shettysakshi7368]

My teacher never even took its name

[@gurucharan1910]

Same brother 😂

[@devtejaa]

watching this day before the exam. Very well explained. Keep uploading more videos.

[@manishavalli195]

Thank you sir because of you, my teacher can learn from you and can teach us....like ditto

[@MaheshHuddar]

Welcome
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[@Iamsrb10]

Thank you Darling ❤
Good explanation 🎉

[@MaheshHuddar]

Welcome
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[@deepakrajgupta1177]

Thank you sir for making this so easy and understandable.

[@muhendisyildiz]

Best explanation on TH-cam for sure! Thanks.

[@brijeshachar6746]

you are a life saver

[@AjyrxGamingbgmi]

Bro eer itthnda tension ye aapuii🤣🤣❤️❤️❤️

[@johnrooney9972]

at 10:56, 'same' does not match with 'change' of the last example, and the classification is negative, so they are inconsistent. why didn't you remove (?,?,?,?,?,Same) ?

[@AshutoshKumar-es8xy]

comparison is done from the beginning to the current row. The current row is 3rd so that is the last row that the consistency needs to be satisfied till.

[@parvezali8325]

Mahesh Bhai Jindabad jindabad ❤ Love from Nepal and other 202 countries

[@Wooby1Dooby1]

Very well explained!

[@1786ayesha]

explaination is good ..but lot of confusion

[@chiragmd8565]

sir at g3 isnt same producing inconsistance with the last last column of the last instance??

[@RavitejaGundimeda]

Yes it is

[@HG-xz7jy]

no you have do that till 3rd instance only

[@subawuugc8]

Can you explain why this?@@HG-xz7jy

[@ishanmakkar4237]

Thank you Sir,Really a nice video,crystal clears the concept.

[@-HarshithaGoud]

Tq so much for the video. It is really useful. We expect more videos like this..😊

[@MaheshHuddar]

Thank You
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candidate elimination algorithm Mahesh Huddar
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[@MaheshHuddar]

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[@michelecastrucci6296]

Thank you for your video! if its possible i will ask you a question: Once i found all the hypotesis in the VS, how i now if a new exemple in the test si positive or negative for this VS?

[@prachisingh9868]

Explanation is damn good 🔥

[@chinnus1022]

Tq sir... understandable at once..

[@sarveshwarans8037]

Well explained

[@kanha7793]

Fantastic sir 🙏🙏🙏🙏

[@dr.k.maheswari9058]

Very Good Explanation Sir

[@RameshKumar-sm8ky]

nice video on candidate ellimination

[@AmmarAhmey]

Thank s for this clear and easy to grab explanation.

[@MaheshHuddar]

Welcome
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[@samarthraj5676]

Very helpful ❤

[@MaheshHuddar]

Thank You
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[@sowjanyay3424]

Excellent 👌

[@UserAP04]

amazing explanation

[@MaheshHuddar]

Welcome
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[@eathealthywithumang]

Thank you so much sir! Fabulous explanation

[@AjayR1999]

Well understood

[@ganashreekalale4345]

Beautifully explained 👍

[@sowmyar7402]

Thanks a ton sir!!!

[@MaheshHuddar]

Most welcome!
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[@pragyadaksh7718]

can you please solve this dataset:
1 Sunny Warm Normal Strong Warm Same Yes
2 Sunny Warm High Strong Warm Same Yes
3 Rainy Cold High Strong Warm Change No
4 Sunny Warm High Strong Cool Change Yes

[@haleemasadiya4054]

Sir how to decide whether the geberal hypothesis is inconsistent???

[@VinitKumar-ek8sc]

sir,how to calculate numerically no of consistent hypothesis.

[@manupatitarun7002]

Thank You Sir

[@MaheshHuddar]

Welcome
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[@varshinij.m7540]

Thank you sir....!

[@MaheshHuddar]

Welcome
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[@itsmsafan]

Thank you sir👍

[@hellokitty3017]

Thank you..sir

[@kandukuriramyasri5494]

ThanQ sir..

[@kandukuriramyasri5494]

@@MaheshHuddar kits,jntu university

[@livingston8267]

Did not understand the last part...

[@DACSVAJAPAYEEGR]

Tq

[@MaheshHuddar]

Welcome
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[@deekshithak8116]

Tqsm sir.....

[@abhishekvanenooru4959]

super sir

[@MaheshHuddar]

Thank You
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[@saraswathihs2160]

in G3 you are writing ???? cool ?...... since 4th training example is not known to the model when we are handling g3... so how exactly cool opposite word will come to know at this point of time

[@SyedJameel-j9t]

Thanks.

[@MaheshHuddar]

Welcome
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[@sarthakgiri7333]

best !!

[@a-mohamedabbassa27]

so how we can use it to classify new items

[@RadioactiveChutney]

Sir what If attribute values have more than 2 possible values.

[@sreekanthreddy6979]

Sir for S3 we should also check for other element aslo right or should we check the only first elemnt in S? In that case what you said is wrong sir

[@sreekanthreddy6979]

Sir I have exam at 1 pm today Plz reply me sir ???

[@sreekanthreddy6979]

Sir,is is ok even one attribute value satisfys the hypothesis?

[@sreekanthreddy6979]

@@MaheshHuddar thanku sir 💐

[@bigulucuk3559]

Could you please write a example of selection sort code

[@LearnWithNK]

What if Attributes 1 have three possible value , in this case what I should write opposite of Rainy

[@MaheshHuddar]

Consider both options

[@harshithk1821]

superr sir

[@priyamahto7426]

sir provide imp ques for AI &ML 2018 scheme 7th sem

[@priyamahto7426]

sir plzzzz provide for Big data analytics imp ques link also 2018 scheme

[@srgplay4526]

Sir what does ? represent and phy represent in a hypothesis?

[@MaheshHuddar]

? means any value in acceptable
Phy means nothing is acceptable

[@rajendrakankrale8062]

How does the set of hypotheses look like after having handled the following three instances:
Instance 1. { (Angry Black Horse) (Happy Brown Cow) } positive
Instance 2. { (Angry Brown Cow) (Happy Black Horse)} positive
Instance 3. { (Angry Brown Horse) (Happy Brown Horse) } negative
Using Depth-First Search :
CBH3 ={ (Angry ? ?) (Happy ? ?) }
CBH3={ (Angry ? Horse) (Happy ? Cow) }
CBH3=(Angry Black ?) (Happy Brown ?)}
Yes, the answer is correct.
Score: 1
Accepted Answers:
CBH3=(Angry Black ?) (Happy Brown ?)}
kindly explain

[@rajendrakankrale8062]

why not this is correct option CBH3 ={ (Angry ? ?) (Happy ? ?) }

[@Viiiiiiii-warrior]

version space could be in any order sir????

[@tantraai]

Sir for example 3 it's given 'No' but in s2 wind and water attributes are matching. So it is inconsistent can we replace with ' ? 'Mark or not?.

[@MaheshHuddar]

For Positive examples (Yes) -
If all attributes match then the example is consistent, if any one of the attributes does not match then inconsistent
For Negative examples (No) -
If all attributes match then the example is inconsistent, if any one of the attributes does not match then consistent

[@MaheshHuddar]

Please watch one more time you will understand

[@tantraai]

​@@MaheshHuddar❤thank you for clarifying

[@MaheshHuddar]

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[@RAKHIGOUDO]

1match show super

[@RAKHIGOUDO]

@@MaheshHuddar I said it is superb explanation

[@IshithaN]

👏

[@MaheshHuddar]

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[@jyotiradityakabiraj9436]

🐐 goat

[@cheemalamarrisaidireddy613]

well

[@prajwalm.s7976]

Amazing Sir

[@MaheshHuddar]

Thank You
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[@prajwalm.s7976]

@@MaheshHuddar sure sir

[@anushlaila]

Thanks sir!

[@dr.yrajasekhar4483]

Thank you so much

[@MaheshHuddar]

Welcome
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