CS 395: "Data Science": metro-rider snapshots of a 15-course field

Resources

• Course syllabus.
• Video Lectures.
• Lecture Notes
• Code and Programs.
• UCI Machine Learning Repository has many real-life data sets.
• DataCamp assignments

Assignments

1. Assignments of the first 4 weeks: Review the basics of Probability and Statistics then solve
   • Chapter 1: 1, 7, 9, 23, 46, 47, 48, 56, 68.
   • Chapter 2: 1, 3, 34, 35, 38, 40, 53, 56, 57, 64.
   • Chapter 3: 1, 8, 9, 27.
   • Chapter 4: 6, 7, 12, 14, 31.
   • Chapter 6: 3
   • Chapter 7: 1
   • Probability HWs from Assignments
2. Review the basics of Data Visualization

• Visualization Code

4. Review the basics of Linear Algebra

   • Chapter 1: Sec 1.1: 1 , 2, 4, 7, 13. Sec 1.2: 1,3,4.
   • Chapter 4: Sec 4.2: 1,11.

5. Review the basics of Multivariate Probability and Statistics

   • Multivariate Example

6. Review some basics of Calculus and solve optimization problems from Assignments.

Suggested Projects

coming soon

Announcements

Please, find here samples for exams.

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