Offered By: IBM
Prognosis and GEO visualization in HealthCare
In this guided project we will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.
Continue readingGuided Project
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At a Glance
In this guided project we will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.
This lab is dedicated to how we can conduct a basic analysis of Big Data on the spread of COVID-19 in the world. We will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.
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Learning Objectives
After completing this lab you will be able to:
- Download DataSet from *.csv files
- Automatically change data in DataSet
- Transform the table
- Visualize data with pandas and seaborn
- Make foreacast models based on linear regression
- Build Interactive Maps