KNN (K-Nearest Neighbor) Algorithm in Telugu

[@polytechbadi8591]

Thank you so much for your wonderful explanation.

[@Cseittutorials]

Thank you please do subscribe and share

[@rajapratappedapudi]

Great Explanation. Thank you🙏🙏

[@ekanadhreddy8220]

tq mam finally i found a telugu video on knn

[@Cseittutorials]

Keep watching

[@ktsunitha]

Theoretical explanation was quite good 👏👏 but need more explanation regarding Code snippets especially for beginners

[@Cseittutorials]

Sure

[@burlaupendra1089]

Super Explanation _great feature.....

[@Cseittutorials]

Thank you

[@ramanimahesh1738]

Good and Clear explanation.

[@Cseittutorials]

Thank you 👍

[@sindhujasekhar7109]

Mam if u don't mine
Evvaru ayina sudden gaa topics adiginapudu
Simple gaa cheppadaaniki
Cheppandi
Topics:
Features, classification - linear and nonlinear, Bayesian, perceptron, nearest neighbour classifier, logistic regression, naive bayes, decision trees, random forest, k-means clustering

[@Cseittutorials]

E topics kavala?

[@sindhujasekhar7109]

@@Cseittutorials Ss mam

[@sindhujasekhar7109]

Already mee videos chusanu
But just main reason okkati sudden gaa adigite cheppadaaniki

[@KartheekReddy04]

Really amazing your videos.can u please do STATISTICS videos also

[@Cseittutorials]

Sure

[@Kuruva.geetha487]

Superb akka

[@Cseittutorials]

Thank you

[@MuraliKrishna-rn1ut]

Excellent explanation madam

[@Cseittutorials]

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[@De-kd5gq]

Mam excellent ga cheppparuu ,
Density estimation ,fuzzy classification chepparaa madam

[@Cseittutorials]

Sure

[@leviackerman8729]

Category a and category b ani ela segregate ayyayi andi. Explain cheyagalara ah?

[@TaraniMamidi]

Great explanation

[@Cseittutorials]

Thank you

[@JayaJaya-dp5mz]

Thanks for supb explanation akka

[@Cseittutorials]

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[@manasa.gunturu5346]

Nice explanation 😍

[@Cseittutorials]

Thank you 🙂
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[@kasiswarikunchala274]

Super explanation.tq

[@Cseittutorials]

Welcome 😊

[@kallurinarasimhareddy1160]

Good explanation 👍

[@rajaraopllboddeti9944]

Theoretical explanation is good. However as s part of code import, execution, k value with code execution, test and train code execution for accurate test results needs some more precise explanation.
Here in algorithms, code writing and execution is the only key point and catch.
Hence code is very much important, to train and test module accuracy for refine outcome and accurate results.
Thank you

[@Raviteja-np5bt]

Super voice 😍❤️

[@Cseittutorials]

Thank you please do subscribe and share

[@Rampurshruthi]

Long short term memory topic explain in telugu pls

[@Cseittutorials]

Sure

[@Rampurshruthi]

Mam important questions luuu cheppandhi mam

[@vamsikrishnakothaluru7415]

Good explanation..

[@Blackpantherm]

Arai jeevan ga ikkadi nuchai aa ga copy koti maku chaptanavu

[@Cseittutorials]

What?

[@crazyvideos7169]

Akka super☝️👌

[@MRAJU-x5d]

Nice explanation

[@Cseittutorials]

Thank you

[@yalamanchivinay8389]

Sweet voice

[@rohitmantri1267]

Thank you madam

[@MultiSnaidu]

GOOD

[@MrShourie]

thanks akka

[@Darkmagi-ur4gh]

🎉🎉🎉🎉

[@gurendrarayala7929]

overall explanation is good
but i have doubt that is
without feature scaling is that better or not?

[@Nerchukoml]

Feature scaling helps our model to predict more accurately

[@satishpadimila9294]

How to select k value

[@saisreenivas4512]

Madam time series analysis gurchi oka sari

[@ashokthulluri4748]

medam, i want class in english pls translate

[@Cseittutorials]

There are so many classes in english

[@ashokthulluri4748]

@@Cseittutorials Implement RandomSearchCV with k fold cross validation on KNN,you have this class send link medam.

[@ashokthulluri4748]

k-fold cross validation