Dr. Rambabu Pemula – Explore the Future with AI & Quantum Intelligence
Welcome to the official YouTube channel of Dr. Rambabu Pemula – your gateway to mastering the rapidly evolving fields of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Quantum Computing.

🎓 About Dr. Rambabu Pemula
With a strong academic background and years of research and teaching experience, Dr. Rambabu Pemula is dedicated to simplifying complex concepts and making advanced computing accessible to students, researchers, and tech enthusiasts.

👨‍🏫 Ideal For:
Students and beginners aiming to build strong foundational knowledge


Anyone curious about how modern technologies are reshaping our world

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Machine Learning Normalizing Features
27:58
Machine Learning Normalizing Features
K Means Clustering
21:32
K Means Clustering
CLUSTERING FINDING SIMILARITIES USING DISTANCES
17:49
CLUSTERING FINDING SIMILARITIES USING DISTANCES
How does clustering works
12:07
How does clustering works
Clustering Introduction
13:04
Clustering Introduction
Performance analysis and comparison of Classification Algorithms on a specific dataset
1:06:29
Performance analysis and comparison of Classification Algorithms on a specific dataset
Online SVMs
5:27
Online SVMs
Kernalized SVM
10:55
Kernalized SVM
SVM The Dual Problem
3:30
SVM The Dual Problem
SVM Quadratic Programming
4:50
SVM Quadratic Programming
SVM Training Objective
14:13
SVM Training Objective
SVM Decision Function and Predictions
8:30
SVM Decision Function and Predictions
Classification of Iris Flowers using Decision Tree Classifier CART Algorithm || GINI Index || CART
50:31
Classification of Iris Flowers using Decision Tree Classifier CART Algorithm || GINI Index || CART
Decision Tree Regression
18:20
Decision Tree Regression
Regularization Hyperparameters || Decision Tree Classifier
12:10
Regularization Hyperparameters || Decision Tree Classifier
Gini Impurity or Entropy || Decision Tree Classifier
16:43
Gini Impurity or Entropy || Decision Tree Classifier
Example for Construction of Decision Tree using Classification And Regression Tree (CART) Algorithm
47:44
Example for Construction of Decision Tree using Classification And Regression Tree (CART) Algorithm
Computational Complexity || Decision Tree || ID3 || CART
4:48
Computational Complexity || Decision Tree || ID3 || CART
The CART Training Algorithm || Decision Tree
16:54
The CART Training Algorithm || Decision Tree
Estimating Class Probabilities || Decision Tree Classifier
14:07
Estimating Class Probabilities || Decision Tree Classifier
Making Predictions || Decision Tree
17:05
Making Predictions || Decision Tree
Training || Visualizing || Decision Tree
17:09
Training || Visualizing || Decision Tree
Types of Decision Trees Algorithms || ID3 || C4.5 || CART
6:19
Types of Decision Trees Algorithms || ID3 || C4.5 || CART
Decision Tree || Introduction
13:13
Decision Tree || Introduction
SVM Regression
10:32
SVM Regression
Iris Flowers Classification using SVM Classification | Iris Flowers| Iris | SVM | SVC |
33:14
Iris Flowers Classification using SVM Classification | Iris Flowers| Iris | SVM | SVC |
SVM Computational Complexity | SVM | Machine Learning
8:16
SVM Computational Complexity | SVM | Machine Learning
SVM GAUSSIAN RBF KERNEL | SVM| Machine Learning
14:29
SVM GAUSSIAN RBF KERNEL | SVM| Machine Learning
SVM Adding Similarity Features | SVM | Machine Learning
16:37
SVM Adding Similarity Features | SVM | Machine Learning
SVM Polynomial Kernel | SVM | Machine Learning | Classification
10:31
SVM Polynomial Kernel | SVM | Machine Learning | Classification