KNN (K-Nearest Neighbor) Algorithm in Telugu

#KNN #knnalgorithm #machinelearningalgorithm
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.datasets import load_breast_cancer
from sklearn.metrics import confusion_matrix
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
import seaborn as sns
sns.set()
breast_cancer = load_breast_cancer()
X = pd.DataFrame(breast_cancer.data, columns=breast_cancer.feature_names)
X = X[['mean area', 'mean compactness']]
y = pd.Categorical.from_codes(breast_cancer.target, breast_cancer.target_names)
y = pd.get_dummies(y, drop_first=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1)
y_pred = knn.predict(X_test)
sns.scatterplot(
x='mean area',
y='mean compactness',
hue='benign',
data=X_test.join(y_test, how='outer')
)
plt.scatter(
X_test['mean area'],
X_test['mean compactness'],
c=y_pred,
cmap='coolwarm',
alpha=0.7
)
confusion_matrix(y_test, y_pred)

[@Blackpantherm]

Arai jeevan ga ikkadi nuchai aa ga copy koti maku chaptanavu

[@Cseittutorials]

What?

[@satishpadimila9294]

How to select k value

[@Rampurshruthi]

Long short term memory topic explain in telugu pls

[@Cseittutorials]

Sure

[@Rampurshruthi]

Mam important questions luuu cheppandhi mam

[@leviackerman8729]

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

[@MultiSnaidu]

GOOD

[@rajapratappedapudi]

Great Explanation. 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

[@polytechbadi8591]

Thank you so much for your wonderful explanation.

[@Cseittutorials]

Thank you please do subscribe and share

[@KartheekReddy04]

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

[@Cseittutorials]

Sure

[@yalamanchivinay8389]

Sweet voice

[@ktsunitha]

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

[@Cseittutorials]

Sure

[@MRAJU-x5d]

Nice explanation

[@Cseittutorials]

Thank you

[@Kuruva.geetha487]

Superb akka

[@Cseittutorials]

Thank you

[@saisreenivas4512]

Madam time series analysis gurchi oka sari

[@burlaupendra1089]

Super Explanation _great feature.....

[@Cseittutorials]

Thank you

[@rohitmantri1267]

Thank you madam

[@crazyvideos7169]

Akka super☝️👌

[@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

[@De-kd5gq]

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

[@Cseittutorials]

Sure

[@MrShourie]

thanks akka

[@JayaJaya-dp5mz]

Thanks for supb explanation akka

[@Cseittutorials]

Please do subscribe and share

[@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

[@kasiswarikunchala274]

Super explanation.tq

[@Cseittutorials]

Welcome 😊

[@vamsikrishnakothaluru7415]

Good explanation..

[@ekanadhreddy8220]

tq mam finally i found a telugu video on knn

[@Cseittutorials]

Keep watching

[@kallurinarasimhareddy1160]

Good explanation 👍

[@MuraliKrishna-rn1ut]

Excellent explanation madam

[@Cseittutorials]

Thank you please do subscribe and share

[@Raviteja-np5bt]

Super voice 😍❤️

[@Cseittutorials]

Thank you please do subscribe and share

[@TaraniMamidi]

Great explanation

[@Cseittutorials]

Thank you

[@manasa.gunturu5346]

Nice explanation 😍

[@Cseittutorials]

Thank you 🙂
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[@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