Machine Learning
25 videos • 13,801 views • by SanITtips
1
Introduction to Machine Learning -Part 1 (KTU CS467 Machine Learning - Module 1)
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2
Introduction to Machine Learning Part 2 ( KTU CS467 Machine Learning - Module 1 )
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3
Types of Machine Learning( KTU CS467 Machine Learning - Module 1 )
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4
K-means Clustering ( KTU CS467 Machine Learning - Module 6 )
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5
Hierarchical Clustering Part 1 ( KTU CS467 Machine Learning - Module 6)
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6
Hierarchical Clustering Part 3 ( Complete Linkage) ( KTU CS467 Machine Learning - Module 6 )
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7
Hierarchichal Clustering Part 4 (Average Linkage ) ( KTU CS467 Machine Learning - Module 6 )
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8
Decision Trees -Part 1( KTU CS467 Machine Learning - Module 4 )
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9
DECISION TREE – PART 2 (Classification and Regression Trees)
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10
DECISION TREE- Part 3 (ID3 Algorithm) - Solved Example
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11
Naïve Bayes Classifier – Part 1 ( Probability Basics) KTU Machine Learning Module 3
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12
Naïve Bayes Classifier – Part 2 (Disjunction & Conjunction ) KTU Machine Learning Module 3
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13
Understanding VC Dimension(Vapnik Chervonenkis Dimension) - Simplified Explanation for Beginners
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14
Probably Approximately Correct (PAC)Learning ( KTU CS467 Machine Learning Module 2)
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15
Naïve Bayes Classifier - Part 6 (Problem Solution ) / KTU CS467 Machine Learning Module 3
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16
Hierarchical Clustering - Part 2 (Single Linkage) (KTU CS467 Machine Learning - Module 6)
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17
Support Vector Machine -KTU Machine Learning Module 5
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18
Hidden Markov Model - Solution to Problem 1(Evaluation Problem)
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19
Version Space & Hypothesis Space ( KTU CS467 Machine Learning - Module 1)
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20
Naive Bayes Problem
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21
Hierarchical Agglomerative Single Linkage Clustering -Problem #1
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22
K Means Clustering - Problem #1
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23
Naive Bayes Classification - Problem #2
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24
Hierarchical Clustering -Average Linkage - Example Problem with Step by Step Solution
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25
Machine Learning | CS467 | KTU Previous Question Paper | December 2021
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