CSE217a Homework (SP19)

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All course information and contents for SP2020 will be available on Canvas.

 

All homework submissions must be made through Gradescope.

SUBMISSION INSTRUCTIONS
  1. Code submission
    • use the following filename: hwX_<your wustlkey>.ipynb
      • for example: hw1_mneumann.ipynb
    • submit the Python notebook (.ipynb file) via file upload
    • do not create a zip file
    • do not add or delete cells in the notebook unless instructed otherwise
Assignments and Deadlines
  • 04/19 hw10
    • due: TUE 04/30 at 2:30pm
    • submit via Gradescope
  • 04/09 hw9
    • due: TUE 04/16 at 2:30pm
    • submit via Gradescope
  • 04/02 hw8
    • due: TUE 04/09 at 2:30pm
    • submit via Gradescope
  • 03/26 hw7
    • to get started finish part 2 and 3 in Lab7 (those are relevant for/part of hw7)
    • due: TUE 04/02 at 2:30pm
    • extended: WED 04/03 at 2:30pm
    • submit via Gradescope
  • 03/19 hw6
    • due: TUE 03/26 at 2:30pm
    • submit via Gradescope
  • 02/26 hw5
    • due: TUE 03/05 at 2:30pm
    • [PDSH]  Ch5 Machine Learning
      • Introducing Scikit-Learn: Ch5 (p343-359)
    • [DSFS] Ch17: Decision Trees
      • What is a Decision Tree? (p201-203)
    • [PDSH]  Ch5 Machine Learning
      • Motivating Random Forests: Decision Trees (p421-426)
    • submit via Gradescope
  • 02/12 hw4
    • due: TUE 02/19 at 2:30pm
    • [PDSH] Ch5 Machine Learning
      • Introducing Scikit-Learn: Ch5 (p343-359)
    • submit via Gradescope
  • 02/05 hw3
    • due: TUE 02/12 at 2:30pm
    • [DSFS] Ch9 Getting Data
      • Reading Files (p105-108)
      • Using APIs (p114-117)
      • Example: Using the Twitter APIs (p117-120)
    • submit via Gradescope
  • 01/24 hw2
    • due: TUE 02/05 at 2:30pm
    • [PDSH] Ch2 NumPy  (p33-63, p78-85)
      • Data Types in Python
      • Basic of NumPy Arrays
      • Computation on NumPy Arrays
      • Aggregations
      • Fancy Indexing
    • submit via Gradescope
  • 01/15 hw1
    • due: TUE 01/22 at 2:30pm
    • [DSFS] Ch2 Python Crash Course
      • The Basics (p15-26)
    • [PDSH] Ch1 IPython and Jupiter Notebooks
      •  all about notebooks, skip stuff about the shell
    • [PDSH] Ch2 NumPy  (p33-63, p78-85)
      • Data Types in Python
      • Basic of NumPy Arrays
      • Computation on NumPy Arrays
      • Aggregations
      • Fancy Indexing
    • submit via Gradescope