1. Courses
  2. CSC354

Machine Learning

  • Teacher
    Kashif Ayyub
  • Category
    Computing
  • Course Code
    CSC354
  • Session
    Fall 2020

Course Material/Videos

Available Resources
15502 Lecture 1 - Introduction to Machine Learning Video Notes
15503 Lecture 2 - Association Rule Learning Video Notes
15504 Lecture 3 - Apriori Algorithm Video Notes
15505 Lecture 4 - FP-Growth Tree Video Notes
15894 Lecture 5 - ECLAT and Hash Tree Video Notes
15895 Lecture 6 - Rule Generation Video Notes
16569 Lecture 7 - Implementing Apriori Algorithm in Python Video Notes
16570 Lecture 8 - Classification and Decision Trees Video Notes
16986 Lecture 9 - Performance of a Predictive Model Video Notes
16987 Lecture 10 - Why accuracy alone is not enough Video Notes
18477 Lecture 11 - Underfitting and Overfitting Video Notes
19018 Lecture 12 - Cross Validation Video Notes
19019 Lecture 13 - Linear Models Video Notes
19957 Lecture 14 - Probabilistic Model - Part 1 Video Notes
19958 Lecture 15 - Probabilistic Model - Part 2 Video Notes
19959 Lecture 16 - Support Vector Machine - Linear Video Notes
19960 Lecture 17 - Support Vector Machine - Non-Linear Video Notes
19961 Lecture 18 - Ensemble Learning - Part 1 Video Notes
19962 Lecture 19 - Ensemble Learning - Part 2 Video Notes
19963 Lecture 20 - Ensemble Learning - Part 3 Video Notes
21825 Lecture 21 - Unsupervised Learning Video Notes
21826 Lecture 22 - K-Means Clustering Video Notes
21827 Lecture 23 - k-Medoid Clustering Video Notes
21828 Lecture 24 - Hierarchical Clustering Video Notes
21829 Lecture 25 - Divisive Clustering Video Notes
21830 Lecture 26 - DBSCAN Video Notes
21831 Lecture 27 - Text Data Processing - Part 1 Video Notes
21832 Lecture 28 - Text Data Processing - Part 2 Video Notes

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