Class Description
The workshop will focus on knowledge extraction and discovery from data, using statistical tools and machine learning algorithms. The students will be required to design and implement such systems and present their results in class.
Meeting Schedule
| # |
Date |
Class Details |
Lecturer |
Files |
| 1 |
14/10/2018 |
Introduction: Intro to data science, project details, important Dates |
Daniel Deutch |
Slides |
| 2 |
21/10/2018 |
Hands-On Data Science in Python : Jupyter Notebook, Numpy, Scipy, Scikit-Learn, Pandas |
Amit Somech |
Slides
Material (Notebook, data files)
|
| 3 |
18/11/2018 |
Student Presentations #1: 5 minutes, 5 slides - Dataset description and initial analysis, project problem formulation |
|
|
| 4 |
16/12/2018 |
Student Presentations #2: 5 minutes, 5 slides - Presentation of initials results |
|
|
| 5 |
13/01/2019 |
Student Presentations #3: (Almost) Final presentations: Problem, model, techniques, results |
|
|
| 6 |
20/02/2018 |
Projects Submission Deadline |
|
|
Notifications
| Date |
Notification |
| 14/10/2018 |
First task: (1) Send us by email your team members (names & emails) NO LATER THAN 28/10/2018
(2) After you form a team, choose a dataset from here
|
| 07/11/2018 |
Final project guidelines: here (PDF) |
| 07/11/2018 |
Final project (empty) grading sheet: here (PDF) |
Course Grading
- Class presentation: 15%
- Final Project: 85%
Resources