Complete Linkage⛓️ Clustering with Example | Clustering in Unsupervised Learning | ML

[@shreyaslinge5106]

We have end semester exams in 10 days and this man has come to save us!

[@siddharthkaushik286]

Mine is tomorrow😊😊

[@rameshgoud2986]

Mine is today😢😢😢

[@akashkr8541]

same. but my end sem is in 6 days

[@SimHit456]

After 2hours 😢

[@rohitshidid2310]

I was going through some of your old videos, we can literally see sir transforming over the course of years, But sir you have lost weight it seems, old healthy sir is what we miss. :) But the efforts and the way of explaining hard concepts in a better understandable way remain constant ❤

[@shivamprajapati4253]

Superrr se uperrrre😊 sir ji tusi great ho... Very helpful videos..

[@vishwassharma3312]

Mazedaar sir. Sir kindly upload videos of machine learning program using python.

[@abhisheklayek4872]

Sir humare december se end semester ka exam hoga. Ek request hai ki aap please jaldi se jaldi ml ke sare topics cover karwa denge to bohot achha hoga... Har exam se pehle apke videos dekh kar hi exam dene jate hain humlog...

[@momin844]

Let G be the set of all 2 x 2 matrices ( a b c d ) where a, b, c, d are integers modulo p, p a prime number, such that ad - bc ≠ 0.

[@BR-2003]

Literally tomorrow is my exam and you saved me!!!

[@PayelDalal]

Sir pls ML ka sara topic jaldi jaldi upload kijiye December se exam h 😢its a humble request

[@abhisheklayek4872]

Exam Topic: Unit 1:- Supervised Learning (Regression/Classification) Basic methods: Distance-based methods, Nearest-Neighbours, Decision Trees, Naive Bayes Linear models: Linear Regression, Logistic Regression, Generalized Linear Models Support Vector Machines, Nonlinearity and Kernel Methods Beyond Binary Classification: Multi-class/Structured Outputs, Ranking Unit 2: Unsupervised Learning Clustering: K-means/Kernel K-means Dimensionality Reduction: PCA and kernel PCA Generative Models (mixture models and latent factor models) Unit 3 Matrix Factorization and Matrix Completion Evaluating Machine Learning algorithms and Model Selection, Introduction to Statistical Learning Theory, Ensemble Methods (Boosting, Bagging, Random Forests) Unit 4 Sparse Modeling and Estimation, Modeling Sequence/Time-Series Data, Deep Learning and Feature Representation Learning Scalable Machine Learning (Online and Distributed Learning) Unit 5 A selection from some other advanced topics, e.g., Semi-supervised Learning. Active Learning, Reinforcement Learning, Inference in Graphical Models, Introduction to Bayesian Learning and Inference Unit 6: Recent trends in various learning techniques of classification methods machine learning and classification methods

[@PayelDalal]

Same topic

[@Pujakumari-dq6vq]

Sir please upload all videos of machine learning

[@AaradhyaGupta-rq1vv]

Saviour ❤

[@lightsacross4663]

Sir if 2 minimum similar values r there then which one to select

[@ankitakumari5393]

Sir please make a video in Hidden Markov Model(HMM).

[@SanketSharmasanket7317]

ok

[@AR.STUDIO108]

can you please tell me how i can do complete link clustering with similarity matrix?

[@guglothvijaykumar9163]

UGC NET computer science and application ke liye konsi book lene h sir

[@rajeshwaripahal6473]

Sir plz dsssb ke liye playlist bna do plz plzplz..... Ya fir koi best source bta do plz sir

[@debdarshipaul7817]

sir gym kyu chor diye??

[@arpanroy457]

❤

[@rishabhjain3977]

Hiiiii