Data Science Part III
Published by:
Sheng-Wang Chen
Description
Saint Amitie Corporation is an educational institute dedicated to English learning. We produce this app using Xcode and reserve our intellectual property right. This app is dedicated to those who have no experiences on Python and its applications of Data Science. We present in this app with basic coding skills and also enclose some examples and quizzes to enhance their learning.
In machine learning , we often need to split the data into training set and testing set by so-called train-test-split method from scikit-learn. In this app, we present several cases to showcase the impact of choosing different random states and test sizes on the accuracy of data analysis.
Hide
Show More...
In machine learning , we often need to split the data into training set and testing set by so-called train-test-split method from scikit-learn. In this app, we present several cases to showcase the impact of choosing different random states and test sizes on the accuracy of data analysis.
Screenshots
Data Science Part III FAQ
-
Is Data Science Part III free?
Yes, Data Science Part III is completely free and it doesn't have any in-app purchases or subscriptions.
-
Is Data Science Part III legit?
Not enough reviews to make a reliable assessment. The app needs more user feedback.
Thanks for the vote -
How much does Data Science Part III cost?
Data Science Part III is free.
-
What is Data Science Part III revenue?
To get estimated revenue of Data Science Part III app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.
User Rating
App is not rated in South Korea yet.
Ratings History
Data Science Part III Reviews
Store Rankings
Ranking History
App Ranking History not available yet
Category Rankings
App is not ranked yet
Data Science Part III Competitors
| Name | Downloads (30d) | Monthly Revenue | Reviews | Ratings | Recent release | |
|---|---|---|---|---|---|---|
Learn MySQL Database Offline
Become an SQL Databases Expert
|
View
|
View
|
0
|
|
2 years ago | |
CCDAK Exam Updated 2024
|
View
|
View
|
0
|
|
10 months ago | |
Learn Full Stack Web Offline
|
View
|
View
|
0
|
|
1 year ago | |
Learn Machine Learning Python
|
View
|
View
|
0
|
|
2 years ago | |
VHDL Ref
Reference for VHDL and Verilog
|
View
|
View
|
0
|
|
1 year ago | |
Learn Deep Learning in Python
|
View
|
View
|
0
|
|
1 year ago | |
ecode10 Database
database course
|
View
|
View
|
0
|
|
1 year ago | |
AI Data Analyst
|
View
|
View
|
0
|
|
1 year ago | |
Learn Data Science Tutorials
Learn Data Science Now
|
View
|
View
|
0
|
|
5 months ago | |
Interview Master: Data Science
|
View
|
View
|
0
|
|
1 month ago |
Data Science Part III Installs
Last 30 days
Data Science Part III Revenue
Last 30 daysData Science Part III Revenue and Downloads
Gain valuable insights into Data Science Part III performance with our analytics.
Sign up now to access downloads, revenue, and more.
Sign up now to access downloads, revenue, and more.
App Info
- Category
- Education
- Publisher
-
Sheng-Wang Chen
- Languages
- English
- Recent release
- 1.1 (2 years ago )
- Released on
- Sep 17, 2022 (2 years ago )
- Also available in
- Pakistan, Italy, Japan, South Korea, Kuwait, Kazakhstan, Lebanon, Mexico, Malaysia, Nigeria, Netherlands, Norway, New Zealand, Peru, Philippines, India, Poland, Portugal, Romania, Russia, Saudi Arabia, Sweden, Singapore, Thailand, Türkiye, Taiwan, Ukraine, United States, Vietnam, South Africa, Denmark, Argentina, Austria, Australia, Azerbaijan, Belgium, Brazil, Belarus, Canada, Switzerland, Chile, China, Colombia, Czechia, Germany, United Arab Emirates, Dominican Republic, Algeria, Ecuador, Egypt, Spain, Finland, France, United Kingdom, Greece, Hong Kong SAR China, Hungary, Indonesia, Ireland, Israel
- Last Updated
- 2 weeks ago
This page includes copyrighted content from third parties, shared solely for commentary and research in accordance with fair use under applicable copyright laws. All trademarks, including product, service, and company names or logos, remain the property of their respective owners. Their use here falls under nominative fair use as outlined by trademark laws and does not suggest any affiliation with or endorsement by the trademark holders.