Learn · Data Mining for Decision Making

Lecture 1 of 33Week 1

Data Mining Explained: Decision Lists & Association Rules Made Simple

Prof. Varun Dutt · IIT Mandi

Credits and licence

From
Data Mining for Decision Making, IIT Mandi (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
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All the lectures

  1. Data Mining Explained: Decision Lists & Association Rules Made Simple Video
  2. How to Install WEKA: Step-by-Step Guide for Beginners Video
  3. Getting Started with WEKA: A Complete Beginner’s Overview Video
  4. Basics of Bayesian Classification: Understanding Probabilistic Learning Video
  5. A Deep Dive into Bayesian Classification: Concepts & Intuition building Video
  6. Implementing Bayesian Classification Using WEKA Video
  7. Bayesian Classification with Numeric Data: Theory & Examples Video
  8. Decision Trees Explained: From Roots to Leaves Video
  9. Building Decision Trees in WEKA: Hands-On Tutorial Video
  10. Neural Networks Fundamentals: How Artificial Brains Learn Video
  11. Neural Networks Explained: Architecture & Learning Video
  12. Implementing Neural Networks in WEKA Video
  13. Clustering Basics: Grouping Data Without Labels Video
  14. Clustering Algorithms in WEKA: Practical Demonstration Video
  15. Clustering Techniques Explained: Beyond the Basics Video
  16. Principal Component Analysis (PCA): Dimensionality Reduction Explained Video
  17. Applying PCA in WEKA: Step-by-Step Walkthrough Video
  18. Linear Regression Explained: Modeling Relationships in Data Video
  19. Linear Regression Using WEKA: Practical Implementation Video
  20. Logistic Regression Basics: Classification Made Easy Video
  21. Logistic Regression in WEKA: Hands-On Classification Video
  22. Instance-Based Learning Explained: Learning from Examples Video
  23. Instance-Based Learning in WEKA: KNN and Beyond Video
  24. Market Basket Analysis Explained: Discovering Hidden Patterns Video
  25. Market Basket Analysis Using WEKA Video
  26. Linear Discriminant Analysis (LDA): Classification Intuition Video
  27. Linear Discriminant Analysis Explained in Depth Video
  28. Implementing LDA in WEKA Video
  29. Model Evaluation Metrics Explained: Accuracy, Precision & More Video
  30. Support Vector Machines Explained: Maximum Margin Learning Video
  31. Support Vector Machines Deep Dive: Kernels & Optimization Video
  32. Advanced SVM Concepts: Kernels, Margins & Hyperparameters Video
  33. Support Vector Machines in WEKA: Practical Tutorial Video