Skip to content
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Login
Sign Up
Login
Sign Up
Login
Sign Up
Home
All Programs
Computers
Data Science
Machine Learning
Wrap up! The Part of Tens!
Wrap up! The Part of Tens!
Curriculum
3 Sections
30 Lessons
Lifetime
Expand all sections
Collapse all sections
Chapter 20: Ten Ways to Improve Your Machine Learning Models
20
1.1
Studying Learning Curves
1.1
Quiz for Studying Learning Curves
6 Questions
1.2
Using Cross-Validation Correctly
1.2
Quiz for Using Cross-Validation Correctly
5 Questions
1.3
Choosing the Right Error or Score Metric
1.3
Quiz for Choosing the Right Error or Score Metric
5 Questions
1.4
Searching for the Best Hyper-Parameters
1.4
Quiz for Searching for the Best Hyper-Parameters
5 Questions
1.5
Testing Multiple Models
1.5
Quiz for Testing Multiple Models
5 Questions
1.6
Averaging Models
1.6
Quiz for Averaging Models
5 Questions
1.7
Stacking Models
1.7
Quiz for Stacking Models
5 Questions
1.8
Applying Feature Engineering
1.8
Quiz for Applying Feature Engineering
6 Questions
1.9
Selecting Features and Examples
1.9
Quiz for Selecting Features and Examples
5 Questions
1.10
Looking for More Data
1.10
Quiz for Looking for More Data
5 Questions
Chapter 21: Ten Guidelines for Ethical Data Usage
20
2.1
Obtaining Permission
2.1
Quiz for Obtaining Permission
6 Questions
2.2
Using Sanitization Techniques
2.2
Quiz for Using Sanitization Techniques
5 Questions
2.3
Avoiding Data Inference
2.3
Quiz for Avoiding Data Inference
5 Questions
2.4
Using Generalizations Correctly
2.4
Quiz for Using Generalizations Correctly
5 Questions
2.5
Shunning Discriminatory Practices
2.5
Quiz for Shunning Discriminatory Practices
5 Questions
2.6
Detecting Black Swans in Code
2.6
Quiz for Detecting Black Swans in Code
5 Questions
2.7
Understanding the Process
2.7
Quiz for Understanding the Process
5 Questions
2.8
Considering the Consequences of an Action
2.8
Quiz for Considering the Consequences of an Action
5 Questions
2.9
Balancing Decision Making
2.9
Quiz for Balancing Decision Making
5 Questions
2.10
Verifying a Data Source
2.10
Quiz for Verifying a Data Source
5 Questions
Chapter 22: Ten Machine Learning Packages to Master
20
3.1
Gensim
3.1
Quiz for Gensim
5 Questions
3.2
imbalanced-learn
3.2
Quiz for imbalanced-learn
6 Questions
3.3
OpenCV
3.3
Quiz for OpenCV
6 Questions
3.4
SciPy
3.4
Quiz for SciPy
5 Questions
3.5
SHAP
3.5
Quiz for SHAP
5 Questions
3.6
Statsmodels
3.6
Quiz for Statsmodels
5 Questions
3.7
Modin
3.7
Quiz for Modin
5 Questions
3.8
PyTorch
3.8
Quiz for PyTorch
5 Questions
3.9
Poetry
3.9
Quiz for Poetry
5 Questions
3.10
Snorkel
3.10
Quiz for Snorkel
5 Questions
This content is protected, please
login
and
enroll
in the course to view this content!
Login
or
Sign Up
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Cybersecurity
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Linkedin
Instagram
Modal title
Main Content