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Wrap up! The Part of Tens! – Machine Learning Foundations
Wrap up! The Part of Tens! – Machine Learning Foundations
Curriculum
3 Sections
30 Lessons
10 Weeks
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Chapter 20: Ten Ways to Improve Your Machine Learning Models
20
1.1
Studying Learning Curves
1.2
Quiz for Studying Learning Curves
6 Questions
1.3
Using Cross-Validation Correctly
1.4
Quiz for Using Cross-Validation Correctly
5 Questions
1.5
Choosing the Right Error or Score Metric
1.6
Quiz for Choosing the Right Error or Score Metric
5 Questions
1.7
Searching for the Best Hyper-Parameters
1.8
Quiz for Searching for the Best Hyper-Parameters
5 Questions
1.9
Testing Multiple Models
1.10
Quiz for Testing Multiple Models
5 Questions
1.11
Averaging Models
1.12
Quiz for Averaging Models
5 Questions
1.13
Stacking Models
1.14
Quiz for Stacking Models
5 Questions
1.15
Applying Feature Engineering
1.16
Quiz for Applying Feature Engineering
6 Questions
1.17
Selecting Features and Examples
1.18
Quiz for Selecting Features and Examples
5 Questions
1.19
Looking for More Data
1.20
Quiz for Looking for More Data
5 Questions
Chapter 21: Ten Guidelines for Ethical Data Usage
20
2.1
Obtaining Permission
2.2
Quiz for Obtaining Permission
6 Questions
2.3
Using Sanitization Techniques
2.4
Quiz for Using Sanitization Techniques
5 Questions
2.5
Avoiding Data Inference
2.6
Quiz for Avoiding Data Inference
5 Questions
2.7
Using Generalizations Correctly
2.8
Quiz for Using Generalizations Correctly
5 Questions
2.9
Shunning Discriminatory Practices
2.10
Quiz for Shunning Discriminatory Practices
5 Questions
2.11
Detecting Black Swans in Code
2.12
Quiz for Detecting Black Swans in Code
5 Questions
2.13
Understanding the Process
2.14
Quiz for Understanding the Process
5 Questions
2.15
Considering the Consequences of an Action
2.16
Quiz for Considering the Consequences of an Action
5 Questions
2.17
Balancing Decision Making
2.18
Quiz for Balancing Decision Making
5 Questions
2.19
Verifying a Data Source
2.20
Quiz for Verifying a Data Source
5 Questions
Chapter 22: Ten Machine Learning Packages to Master
20
3.1
Gensim
3.2
Quiz for Gensim
5 Questions
3.3
imbalanced-learn
3.4
Quiz for imbalanced-learn
6 Questions
3.5
OpenCV
3.6
Quiz for OpenCV
6 Questions
3.7
SciPy
3.8
Quiz for SciPy
5 Questions
3.9
SHAP
3.10
Quiz for SHAP
5 Questions
3.11
Statsmodels
3.12
Quiz for Statsmodels
5 Questions
3.13
Modin
3.14
Quiz for Modin
5 Questions
3.15
PyTorch
3.16
Quiz for PyTorch
5 Questions
3.17
Poetry
3.18
Quiz for Poetry
5 Questions
3.19
Snorkel
3.20
Quiz for Snorkel
5 Questions
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