Skip to content

Updated answer for Quiz 1 Question 7 #22

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Updated answer for Quiz 1 Question 7 #22

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions 04 - Machine Learning with Big Data/Quiz 1 - Machine Learning Overview.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@

### 7. Phase 2 of CRISP-DM is Data Understanding. In this phase,

- we acquire as well as explore the data that is related to the problem.
- **we acquire as well as explore the data that is related to the problem.**
- we define the problem or opportunity to be addressed.
- we prepare the data for analysis.

Expand All @@ -53,4 +53,4 @@
- KNIME requires programming, while Spark MLlib does not.
- KNIME requires programming in Java, while Spark MLlib requires programming in Python.
- **KNIME is a graphical user interface-based machine learning tool, while Spark MLlib provides a programming-based distributed platform for scalable machine learning algorithms.**
- KNIME originated in Germany, while Spark MLlib was created in California, USA.
- KNIME originated in Germany, while Spark MLlib was created in California, USA.