DTSC670: Foundations of Machine Learning Models Assignment 2: COVID-19 Data Wrangling Name: CodeGrade Please note that this assignment will be manually graded. You will have one attempt at submitting this assignment. Since we are merely using CodeGrade for this assignment as a platform to manually grade assignments, CodeGrade will not execute your code for this assignment. Rather, it simply renders your Jupyter Notebook in the web browser. Therefore, any code blocks that generate output must be fully executed within the notebook prior to submission. Otherwise, we will not see the output of your code! Details The purpose of this assignment is to hone your data wrangling skills. Your task for this assignment is to perform the data preparation as instructed in the DTSC670_Assignment_2 pdf listed in Brightspace. After performing all the data preparation tasks outlined in the document, run the code in the "Prepare DataFrames for Grading" section. You are supplied an Excel file called BrazilCOVIDData.xlsx - be sure to put the data file in the same directory as this Jupyter Notebook. Please note that it may take around 5 minutes to read-in all of the data in this file.
DTSC670: Foundations of Machine Learning Models
Assignment 2: COVID-19 Data Wrangling
Name:
CodeGrade
Please note that this assignment will be manually graded. You will have one attempt at submitting this assignment.
Since we are merely using CodeGrade for this assignment as a platform to manually grade assignments, CodeGrade will not execute your code for this assignment. Rather, it simply renders your Jupyter Notebook in the web browser. Therefore, any code blocks that generate output must be fully executed within the notebook prior to submission. Otherwise, we will not see the output of your code!
Details
The purpose of this assignment is to hone your data wrangling skills. Your task for this assignment is to perform the data preparation as instructed in the DTSC670_Assignment_2 pdf listed in Brightspace. After performing all the data preparation tasks outlined in the document, run the code in the "Prepare DataFrames for Grading" section.
You are supplied an Excel file called BrazilCOVIDData.xlsx - be sure to put the data file in the same directory as this Jupyter Notebook. Please note that it may take around 5 minutes to read-in all of the data in this file.
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