diff_months: 19

Assessment Of Modern Data Science

Download Solution Now
Added on: 2022-09-26 11:19:42
Order Code: 458570
Question Task Id: 0

Instructions

Assessment Task Questions

There are total 2 parts to the assessment task:

Part 1 The first part will focus on the basic Python programming skills which include the data types, the control flow, the function, the Class, the modules, and the library from M02.

Part 2 The second part is for those who are aiming to achieve High Distinction (HD) for this assessment task, and it will focus on more advanced Python programming skills for data science. This part will require the knowledge covered in M02 and also M03, in particular, NumPy and beyond.

What to Submit?

You are required to submit the following completed files to the corresponding Assignment (Dropbox) in CloudDeakin:

SIT742Task1.ipynb The completed notebook with all the run-able code on all requirements. In general, you need to complete, save the results of running, download and submit your notebook from a Python platform such as Google Colab. You need to clearly list the answer for each question, and the expected format from your notebook will be like in Figure 1.

458270f-1664189596.jpg

458270_1ffff-1664189625.jpg

458270_2sdfsdf-1664189669.jpg

458270_3fff-1664189687.jpg

g458270_4ggfg-1664190516.jpg

458270_5gd-1664190539.jpg

458270_6ff-1664190850.jpg

  • Uploaded By : Katthy Wills
  • Posted on : September 26th, 2022
  • Downloads : 0
  • Views : 315

Download Solution Now

Can't find what you're looking for?

Whatsapp Tap to ChatGet instant assistance

Choose a Plan

Premium

80 USD
  • All in Gold, plus:
  • 30-minute live one-to-one session with an expert
    • Understanding Marking Rubric
    • Understanding task requirements
    • Structuring & Formatting
    • Referencing & Citing
Most
Popular

Gold

30 50 USD
  • Get the Full Used Solution
    (Solution is already submitted and 100% plagiarised.
    Can only be used for reference purposes)
Save 33%

Silver

20 USD
  • Journals
  • Peer-Reviewed Articles
  • Books
  • Various other Data Sources – ProQuest, Informit, Scopus, Academic Search Complete, EBSCO, Exerpta Medica Database, and more