Business Analytics Numericals Explained | KTU S8 AIDS | Problems & Solutions (Step-by-Step)
KTU AI DATAVERSE
Business Analytics Numericals Explained | KTU S8 AIDS | Problems & Solutions (Step-by-Step)
25:50
KTU IML305 University Exam 2025 | Full Answer Discussion | Scoring Guide + Tricks
KTU AI DATAVERSE
KTU IML305 University Exam 2025 | Full Answer Discussion | Scoring Guide + Tricks
39:38
AMT 305 IML Nov 24 Paper (R,S) Solved | Simple Explanation
KTU AI DATAVERSE
AMT 305 IML Nov 24 Paper (R,S) Solved | Simple Explanation
36:33
Unsupervised Learning Approaches | K-Means, DBSCAN, Hierarchical | Module 5 Part 2 (KTU AMT305)
KTU AI DATAVERSE
Unsupervised Learning Approaches | K-Means, DBSCAN, Hierarchical | Module 5 Part 2 (KTU AMT305)
28:31
Ensemble Methods in Machine Learning | Theory Explained | Module 5 Part 1 (KTU AMT305)
KTU AI DATAVERSE
Ensemble Methods in Machine Learning | Theory Explained | Module 5 Part 1 (KTU AMT305)
19:28
KTU CST 473 NLP Module 4 | TF-IDF + Cosine Similarity + Precision@K Solved Problems
KTU AI DATAVERSE
KTU CST 473 NLP Module 4 | TF-IDF + Cosine Similarity + Precision@K Solved Problems
19:32
KTU CST 473 NLP Module 3 | Naive Bayes + Logistic Regression Solved Problems
KTU AI DATAVERSE
KTU CST 473 NLP Module 3 | Naive Bayes + Logistic Regression Solved Problems
13:59
KTU CST 473 NLP Module 2 Problematic Questions | Step-by-Step TF-IDF, Word2Vec, Confusion Matrix
KTU AI DATAVERSE
KTU CST 473 NLP Module 2 Problematic Questions | Step-by-Step TF-IDF, Word2Vec, Confusion Matrix
14:52
KTU CST 473 NLP Module 1 | Ambiguity Types + Why NLP Is Hard | Full Theory Class
KTU AI DATAVERSE
KTU CST 473 NLP Module 1 | Ambiguity Types + Why NLP Is Hard | Full Theory Class
4:39
SVM Explained Step-by-Step | Hard Margin, Soft Margin & Kernel Trick | Module 4 Part 2 (KTU AMT305)
KTU AI DATAVERSE
SVM Explained Step-by-Step | Hard Margin, Soft Margin & Kernel Trick | Module 4 Part 2 (KTU AMT305)
17:26
MLE & MAP Estimation Solved | Step-by-Step Explanation | Module 4 Part 1 (KTU AMT305)
KTU AI DATAVERSE
MLE & MAP Estimation Solved | Step-by-Step Explanation | Module 4 Part 1 (KTU AMT305)
9:23
All Important Deep Learning Numericals Solved | AIT401 Foundations of Deep Learning
KTU AI DATAVERSE
All Important Deep Learning Numericals Solved | AIT401 Foundations of Deep Learning
20:49
Foundations of Data Science(ADT301) – Module 5 | Model Evaluation with Confusion Matrix Problems
KTU AI DATAVERSE
Foundations of Data Science(ADT301) – Module 5 | Model Evaluation with Confusion Matrix Problems
29:06
Foundations of Data Science(ADT301) – Module 4 | Association Rule Mining & Clustering with Problems
KTU AI DATAVERSE
Foundations of Data Science(ADT301) – Module 4 | Association Rule Mining & Clustering with Problems
25:52
Foundations of Data Science(ADT301) – Module 3 | Classification Models Explained with Examples
KTU AI DATAVERSE
Foundations of Data Science(ADT301) – Module 3 | Classification Models Explained with Examples
15:18
Foundations of Data Science(ADT301) – Module 2 | Data Mining & Preprocessing Explained with Problems
KTU AI DATAVERSE
Foundations of Data Science(ADT301) – Module 2 | Data Mining & Preprocessing Explained with Problems
27:51
Foundations of Data Science(ADT301) – Module 1 | Introduction to Data Science Explained with Notes
KTU AI DATAVERSE
Foundations of Data Science(ADT301) – Module 1 | Introduction to Data Science Explained with Notes
21:47
Backpropagation Example Solved | Step-by-Step Explanation | Module 3 Part 11 (KTU AMT305)
KTU AI DATAVERSE
Backpropagation Example Solved | Step-by-Step Explanation | Module 3 Part 11 (KTU AMT305)
10:38
Multilayer Neural Network (MLP) Explained | Theory | Module 3 Part 10 (KTU AMT305)
KTU AI DATAVERSE
Multilayer Neural Network (MLP) Explained | Theory | Module 3 Part 10 (KTU AMT305)
14:47
Activation Functions in Neural Networks | Theory Explained | Module 3 Part 9 (KTU AMT305)
KTU AI DATAVERSE
Activation Functions in Neural Networks | Theory Explained | Module 3 Part 9 (KTU AMT305)
13:29
Perceptron Example Solved | Step-by-Step Solution | Module 3 Part 8 (KTU AMT305)
KTU AI DATAVERSE
Perceptron Example Solved | Step-by-Step Solution | Module 3 Part 8 (KTU AMT305)
14:59
Perceptron Model in Machine Learning | Theory Explained | Module 3 Part 7 (KTU AMT305)
KTU AI DATAVERSE
Perceptron Model in Machine Learning | Theory Explained | Module 3 Part 7 (KTU AMT305)
7:55
Artificial Neural Network (ANN) Explained | BNN vs ANN | Module 3 Part 6 (KTU AMT305)
KTU AI DATAVERSE
Artificial Neural Network (ANN) Explained | BNN vs ANN | Module 3 Part 6 (KTU AMT305)
11:51
Cross Validation in Machine Learning | Theory Explained | Module 3 Part 5 (KTU AMT305)
KTU AI DATAVERSE
Cross Validation in Machine Learning | Theory Explained | Module 3 Part 5 (KTU AMT305)
9:42
Bootstrapping in Machine Learning | Theory Explained | Module 3 Part 4 (KTU AMT305)
KTU AI DATAVERSE
Bootstrapping in Machine Learning | Theory Explained | Module 3 Part 4 (KTU AMT305)
8:13
ROC and AUC Curves in Machine Learning | Theory Explained | Module 3 Part 3 (KTU AMT305)
KTU AI DATAVERSE
ROC and AUC Curves in Machine Learning | Theory Explained | Module 3 Part 3 (KTU AMT305)
14:57
Confusion Matrix Examples Solved | ML Module 3 Part 2 (KTU AMT305)
KTU AI DATAVERSE
Confusion Matrix Examples Solved | ML Module 3 Part 2 (KTU AMT305)
14:46
Performance Metrics in ML | Accuracy, Precision, Recall, F1-Score | Module 3 Part 1 (KTU AMT305)
KTU AI DATAVERSE
Performance Metrics in ML | Accuracy, Precision, Recall, F1-Score | Module 3 Part 1 (KTU AMT305)
12:55
Decision Tree Solved Example | IG & Gini Index Method | Module 2 Part 13 (KTU AMT305)
KTU AI DATAVERSE
Decision Tree Solved Example | IG & Gini Index Method | Module 2 Part 13 (KTU AMT305)
12:54
Decision Tree in Machine Learning | Theory Explained | Module 2 Part 12 (KTU AMT305)
KTU AI DATAVERSE
Decision Tree in Machine Learning | Theory Explained | Module 2 Part 12 (KTU AMT305)
10:52
Naive Bayes Example Solved (Method 2 – Frequency Table) | ML Module 2 Part 11 (KTU AMT305)
KTU AI DATAVERSE
Naive Bayes Example Solved (Method 2 – Frequency Table) | ML Module 2 Part 11 (KTU AMT305)
8:45
Naive Bayes Example Solved (Method 1) | ML Module 2 Part 10 (KTU AMT305)
KTU AI DATAVERSE
Naive Bayes Example Solved (Method 1) | ML Module 2 Part 10 (KTU AMT305)
14:01
Naive Bayes in Machine Learning | Theory Explained | Module 2 Part 9 (KTU AMT305)
KTU AI DATAVERSE
Naive Bayes in Machine Learning | Theory Explained | Module 2 Part 9 (KTU AMT305)
9:56
Logistic Regression in ML | Theory Explained with Diagrams | Module 2 Part 8 (KTU AMT305)
KTU AI DATAVERSE
Logistic Regression in ML | Theory Explained with Diagrams | Module 2 Part 8 (KTU AMT305)
12:37
Linear Regression Cost Function Solved | Module 2 Part 7 (KTU AMT305)
KTU AI DATAVERSE
Linear Regression Cost Function Solved | Module 2 Part 7 (KTU AMT305)
12:34
Linear Regression with Solved Example (1 Variable) | Module 2 Part 6 (KTU AMT305)
KTU AI DATAVERSE
Linear Regression with Solved Example (1 Variable) | Module 2 Part 6 (KTU AMT305)
7:15
PCA Example Solved | Math + Python Explained | Module 2 Part 5 (KTU AMT305)
KTU AI DATAVERSE
PCA Example Solved | Math + Python Explained | Module 2 Part 5 (KTU AMT305)
13:38
PCA in Machine Learning Explained | Module 2 Part 4 (KTU AMT305)
KTU AI DATAVERSE
PCA in Machine Learning Explained | Module 2 Part 4 (KTU AMT305)
6:39
Feature Extraction in ML (with Python Demo) | Module 2 Part 3 – KTU 2019
KTU AI DATAVERSE
Feature Extraction in ML (with Python Demo) | Module 2 Part 3 – KTU 2019
11:21
Feature Selection in ML | Forward & Backward Selection | Module 2 Part 2 (KTU AMT305 – 2019 Scheme)
KTU AI DATAVERSE
Feature Selection in ML | Forward & Backward Selection | Module 2 Part 2 (KTU AMT305 – 2019 Scheme)
11:53
Dimensionality Reduction in ML | Module 2 Part 1 (KTU AMT305 – 2019 Scheme)
KTU AI DATAVERSE
Dimensionality Reduction in ML | Module 2 Part 1 (KTU AMT305 – 2019 Scheme)
5:59
Machine Learning Module 1 Question Bank | KTU AMT305 – 2019 Scheme
KTU AI DATAVERSE
Machine Learning Module 1 Question Bank | KTU AMT305 – 2019 Scheme
6:38
Model Selection & Generalization in ML Explained | Module 1 Part 6 (KTU AMT305 – 2019 Scheme)
KTU AI DATAVERSE
Model Selection & Generalization in ML Explained | Module 1 Part 6 (KTU AMT305 – 2019 Scheme)
12:25
One-vs-One & One-vs-All in ML | Multi-Class Learning Explained | Module 1 Part 5 (KTU AMT305)
KTU AI DATAVERSE
One-vs-One & One-vs-All in ML | Multi-Class Learning Explained | Module 1 Part 5 (KTU AMT305)
4:57
PAC Learning & Noise in Machine Learning Explained with Examples | Module 1 Part 4 (KTU AMT305)
KTU AI DATAVERSE
PAC Learning & Noise in Machine Learning Explained with Examples | Module 1 Part 4 (KTU AMT305)
7:55
📐 VC Dimension Explained with Examples | Module 1 Part 3 (KTU AMT305)
KTU AI DATAVERSE
📐 VC Dimension Explained with Examples | Module 1 Part 3 (KTU AMT305)
8:33
Hypothesis & Version Space in ML Explained with Examples | Module 1 Part 2 (KTU AMT305)
KTU AI DATAVERSE
Hypothesis & Version Space in ML Explained with Examples | Module 1 Part 2 (KTU AMT305)
9:30
What is Machine Learning? Types of ML Explained Simply |Module 1| Part 1 (KTU AMT305)
KTU AI DATAVERSE
What is Machine Learning? Types of ML Explained Simply |Module 1| Part 1 (KTU AMT305)
10:03
Introduction to Machine Learning – Full Syllabus Explained (KTU AMT305)
KTU AI DATAVERSE
Introduction to Machine Learning – Full Syllabus Explained (KTU AMT305)
6:07