KNN (K-Nearest Neighbor) Algorithm in Telugu

[@rajapratappedapudi]

Great Explanation. Thank you🙏🙏

[@ktsunitha]

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

[@Cseittutorials]

Sure

[@polytechbadi8591]

Thank you so much for your wonderful explanation.

[@Cseittutorials]

Thank you please do subscribe and share

[@burlaupendra1089]

Super Explanation _great feature.....

[@Cseittutorials]

Thank you

[@KartheekReddy04]

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

[@Cseittutorials]

Sure

[@Kuruva.geetha487]

Superb akka

[@Cseittutorials]

Thank you

[@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?

[@ekanadhreddy8220]

tq mam finally i found a telugu video on knn

[@Cseittutorials]

Keep watching

[@TaraniMamidi]

Great explanation

[@Cseittutorials]

Thank you

[@MuraliKrishna-rn1ut]

Excellent explanation madam

[@Cseittutorials]

Thank you please do subscribe and share

[@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

[@kasiswarikunchala274]

Super explanation.tq

[@Cseittutorials]

Welcome 😊

[@MRAJU-x5d]

Nice explanation

[@Cseittutorials]

Thank you

[@JayaJaya-dp5mz]

Thanks for supb explanation akka

[@Cseittutorials]

Please do subscribe and share

[@yalamanchivinay8389]

Sweet voice

[@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

[@kallurinarasimhareddy1160]

Good explanation 👍

[@vamsikrishnakothaluru7415]

Good explanation..

[@manasa.gunturu5346]

Nice explanation 😍

[@Cseittutorials]

Thank you 🙂 Follow for more updates Telegram t.me/cseittutorials4u Instagram instagram.com/cse_it_tutorials4u?igshid=YmMyMTA2M2Y=

[@crazyvideos7169]

Akka super☝️👌

[@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

[@MultiSnaidu]

GOOD

[@rohitmantri1267]

Thank you madam

[@Blackpantherm]

Arai jeevan ga ikkadi nuchai aa ga copy koti maku chaptanavu

[@Cseittutorials]

What?

[@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

[@saisreenivas4512]

Madam time series analysis gurchi oka sari

[@MrShourie]

thanks akka

[@satishpadimila9294]

How to select k value

[@Darkmagi-ur4gh]

🎉🎉🎉🎉

[@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