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Introduction to Data Analytics
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Summary+ Insights into the Final Exam
38:12
Summary+ Insights into the Final Exam
Introduction to Experimentation and Active Learning
33:14
Introduction to Experimentation and Active Learning
Introduction to Experimentation and Active Learning(contd)
25:42
Introduction to Experimentation and Active Learning(contd)
Clustering Analysis (contd)
30:38
Clustering Analysis (contd)
An Introduction to Online Learning - Reinforcement Learning (contd)
20:26
An Introduction to Online Learning - Reinforcement Learning (contd)
An Introduction to Online Learning - Reinforcement Learning
10:12
An Introduction to Online Learning - Reinforcement Learning
Big Data - A small introduction (contd)
15:43
Big Data - A small introduction (contd)
Clustering Analysis
28:23
Clustering Analysis
Big Data, A small introduction
18:42
Big Data, A small introduction
Association Rule Mining (contd)
13:43
Association Rule Mining (contd)
Associative Rule Mining
8:28
Associative Rule Mining
Artificial Neural Networks(cont\'d)
16:23
Artificial Neural Networks(cont\'d)
Ensemble Methods and Random Forests
29:53
Ensemble Methods and Random Forests
Artificial Neural Networks
23:41
Artificial Neural Networks
Deep Learning
13:51
Deep Learning
NPTEL MOOC IDA Tutorial for Assignment 3
41:25
NPTEL MOOC IDA Tutorial for Assignment 3
Model Assessment and Selection
31:11
Model Assessment and Selection
Support Vector Machines and Kernel Transformations
19:19
Support Vector Machines and Kernel Transformations
Support Vector Machines for Non Linearly Separable Data
14:49
Support Vector Machines for Non Linearly Separable Data
Support Vector Machines(contd)
17:25
Support Vector Machines(contd)
Support Vector Machines
17:00
Support Vector Machines
Bias Variance Dichotomy
24:02
Bias Variance Dichotomy
Classification and Regression Trees
22:04
Classification and Regression Trees
Classification and Regression Trees(contd)
20:05
Classification and Regression Trees(contd)
Logistic Regression
13:02
Logistic Regression
Training a Logistic Regression Classifier
9:59
Training a Logistic Regression Classifier
NPTEL MOOC IDA - Tutorial for Assignment 2
21:17
NPTEL MOOC IDA - Tutorial for Assignment 2
Ordinary Least Squares Regression
33:38
Ordinary Least Squares Regression
Data Modelling and Algorithmic Modelling Approaches
18:21
Data Modelling and Algorithmic Modelling Approaches
Regularization/ Coefficients Shrinkage
19:59
Regularization/ Coefficients Shrinkage
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