Instructor: Alexander Dekhtyar, dekhtyar@csc.calpoly.edu, 14-210
Office Hours:
|
|
Who | Where | |
| Monday | 10:10am - 11:00am | Alex | 14-210 |
| Monday | 1:10pm - 2:00pm | Alex | 14-210 |
| Wednsday | 10:10am - 11:00pm | Alex | 14-210 |
| Wednesday | 2:10pm - 3:00pm | Alex | 14-210 |
Additional appoinments: send email.
Final Exam Date: Monday, December 10, 2018, 10:10 - 1:00pm
(note: there is no final exam, but we may use the time for course-related activities)
| Syllabus | Postscript | ||
| Github Id Survey | Survey | ||
| Jupyter Hub | Login Page | Log in with Gitgub Id | |
| Spring 2018 Exam files | Task1.ipynb, data1.csv | Task2.ipynb, data5.csv | Task3.ipynb, data8.csv |
| Spring 2018 Exam Solutions | Task1-solution.ipynb | Task2-solution.ipynb | Task3-solution.ipynb |
| Lab 1 | Due: October 1 (Monday) | Association Rules | Postscript | Data | [September 24, 2018] | |
| Lab 2 | Due: October 12 (Friday) | Supervised Learning (Classification) | Postscript | Data | [October 3, 2018] | |
| Lab 3 | Due: OCtober 22 (Monday) | Supervised Learning (Classification) | Postscript | Data | [OCtober 12, 2018] | |
| Lab 4 | Due: November 2 | Unsupervised Learning | Postscript | Data | [October 24, 2018] | |
| Lab 5 | Due: November 14 | Information Retrieval/Text Mining | Postscript | Data | [November 2, 2018] | |
| Lab 6 | Due: November 28 | Collaborative Filtering | Postscript | Data | [November 16, 2018] | |
| Lab 7 | Due: December 7 | Link Analysis | Postscript | Data | [November 28, 2018] |
| Analytical Project | Due: November 9/December 10 2018 | Multiple Datasets | Postscript | [November 2, 2018] |
Lab Data
| Lecture 1 | What is KDD? | Postscript | [March 31, 2009] | Lecture 2 | Association Rules Mining: Apriori | Postscript | [April 12, 2009] |
| Lecture 3 | Association Rules Mining: Apriori examples | Postscript | [April 14, 2009] | Lecture 4 | Classification. Decision Trees | Postscript | [April 20, 2009] |
| Lecture 5 | Classification: C4.5. example | Postscript | [April 22, 2009] | ||
| Lecture 6 | Classification: Beyond C4.5. | Postscript | [April 25, 2009] | ||
| Lecture 7 | Clustering: K-means | Postscript | [April 29, 2009] | ||
| Lecture 8 | Distance Measures | Postscript | [April 29, 2009] | ||
| Lecture 9 | Clustering: Hierarchical | Postscript | [May 7, 2009] | ||
| Lecture 10 | Collaborative Filtering: Intro | Postscript | [May 14, 2009] | Lecture 11 | Collaborative Filtering: Evaluation | Postscript | [November 1, 2010] |
| Lecture 12 | Information Retrieval: measures, models | Postscript | [May 20, 2009] | ||
| Lecture 13 | Information retrieval: extending VSM | Postscript | [May 25, 2009] | ||
| Lecture 14 | Social Network/Graph Mining | Postscript | [November 10, 2010] | ||
| Lecture 15 | PageRank:The Algorithm | Postscript | [May 28, 2009] | ||
| Lecture 16 | PageRank: The Math | Postscript | [June 1, 2009] | ||
| Lecture 17 | Community Discovery | Postscript | [November 10, 2010] | ||
| Lecture 17 | Naive Bayes | Postscript | [June 3, 2009] |