Advanced Practical Course Data Science for Computer Networks (Summer 2017): Difference between revisions
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*Knowledge of Python or R... | *Knowledge of Python or R... | ||
*...and relevant libraries (e.g., SciKit Learn, Pandas, caret, etc.) | *...and relevant libraries (e.g., SciKit Learn, Pandas, caret, etc.) | ||
==Schedule (Tentative)== | |||
* April 13: | |||
** Informational meeting | |||
** Release of warmup problem | |||
* April 20: Release of first project | |||
* April 27: Submission of warmup problem (5% of final grade) in single PDF by E-Mail to David | |||
** Submit as a PDF report | |||
** In the PDF describe your steps in exploratory data analysis and link your results to the predictive model you have built. | |||
** Also attach your Code | |||
** Overall, this submission also decides on whether or not you will be able to continue the course. | |||
* May 4th: Meeting to discuss properties of / problems with data set for first project | |||
* May 18th: | |||
**Presentation of first project results (20% of final grade) | |||
** Release of second project | |||
* June 8th: Meeting to discuss properties of / problems with data set for second project | |||
* June 22nd: | |||
** Presentation of second project results (15% of final grade) | |||
** Release of third project | |||
* July 13: Meeting to discuss properties of / problems with data set for third project | |||
* August 3: Presentation of third project results (40% of final grade) | |||
* September 30: Submission of final reports for projects 1-3 (20% of final grade) | |||
All meetings will be at 2.15pm in room IFI 3.101. | |||