辅导GNMENTS 2 AND辅导Python编程

158.222-2020 Semester 1 Massey University
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ASSIGNMENTS 2 AND 3

Deadline: Hand in by midnight 3 May 2020
Evaluation: Project 2: 10% of your final course grade.
Project 3: 10% of your final course grade.
Late Submission: Refer to the course guide.
Work This assignment is to be done individually.
Purpose: Implement the entire data science/analytics workflow. Use regression techniques to solve real-
world problems. Gain skills in extracting data from the web using APIs and web scraping. Build on
the data wrangling, data visualization and introductory data analysis skills gained up to this point
as well as problem formulation and presentation of findings. Gain skills in kNN regression
modelling and supervised and unsupervised learning.
Learning outcomes 1 - 5 from the course outline.

Please note that all data manipulation must be written in python code in the Jupyter Notebook
environment. No marks will be awarded for any data wrangling that is completed in excel.
Assignments 2 and 3 will need to be submitted separately, even though they have the same due
date. Make sure that you create a separate notebook for each assignment.
These assignments will take longer than you think, so…
Do not leave starting these assignments until the last minute. You have the tools you need to
start now.
As of the week 5 lecture, you will have been introduced to tools that will assist you in completing
Assignment 2.
By week 7 (before semester break) you will be able to complete most of Assignment 3, except for
part 3, which you will be able to complete after the week 8 lecture.

158.222-2020 Semester 1 Massey University
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*** Plagiarism ***
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It is mandatory that any assessment items that you submit during your University
study are your own work. Massey University takes a firm stance on academic
misconduct, such as plagiarism and any form of cheating.

Plagiarism is the copying or paraphrasing of another person’s work, whether
published or unpublished, without clearly acknowledging it. It includes copying the
work of other students and reusing work previously submitted by yourself for another
course. It also includes the copying of code from unacknowledged sources.

Academic integrity breaches impact on students as it disadvantages honest students
and undermines the credibility of your qualification. Plagiarism, and cheating in tests
and exams will be penalised; it is likely to lead to loss of marks for that item of
assessment and may lead to an automatic failing grade for the course and/or
exclusion from reenrolment at the University.

Please see the Academic Integrity Guide for Students on the University website for
more information. The Guide steps you through the University Academic Integrity
Policy and Procedures. For example, you will find definitions of academic integrity
misconduct, such as plagiarism; how misconduct is determined and managed; and
where to find resources and assistance to help develop the skills of academic writing,
exam preparation and time management. These skills will help you approach
university study with academic integrity.