Assignment 1
Machine learning | assignment – 这是一个关于Machine learning的题目, 主要考察了关于Machine learning的内容,是一个比较经典的题目, 是比较典型的Machine learning等代写方向, 这个项目是assignment代写的代写题目
Due 27 Mar by 21:29 Points 40 Submitting an external tool Available 5 Mar at 21:30 – 31 Mar at 21:
This is a link to a Gradescope assignment.
In this assignment, you will use Machine learning techniques to predict future bike
rental demand based on historical data.
To get started, download a local copy of the bike rental data
(https://myuni.adelaide.edu.au/courses/82472/files/12595041?wrap=1)
(https://myuni.adelaide.edu.au/courses/82472/files/12595041/download?
download_frd=1).
A Jupyter notebook template file is provided here
(https://myuni.adelaide.edu.au/courses/82472/files/12600383?wrap=1)
(https://myuni.adelaide.edu.au/courses/82472/files/12600383/download?
download_frd=1). You should fill out the cells in the notebook as instructed to
complete the assignment.
You don’t need to submit the data file , but your code should assume the data
file is in the same directory and that its name is not changed.
The autograde of this assignment is worth 10% of your overall marks for the
course.
The file ipynb contains hidden tests and no public tests. This is why you will
receive the following message in gradescope even if your solution is not
correct.
This tool needs to be loaded in a new browser window
In Step 4, the "Season" feature needs to be removed after you replace it with
the 4 new columns, "Winter", "Spring", "Summer", and "Autumn".
Questions? Please ask on the discussion boards in the first instance.
to check the score of your latest attempt go to
https://www.gradescope.com/courses/
(https://www.gradescope.com/courses/511787)
to submit a new attempt, click below:
Load Assignment 1 in a new window