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IMAP:
Integrated Microbiome Analysis Pipelines
:
End-to-End Practical User Guides Using Integrated Approaches
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Table of contents
IMAP-Part 10: Predictive Modeling Using Microbiome Data
ML COMPONENTS
1
Key Components of Microbiome Machine Learning
ML FRAMEWORKS
2
Machine Learning Framework in R: From Data Acquisition to Model Deployment
ML PROTOTYPES
3
Machine Learning Prototypes: Streamlining Microbiome Model Development and Deployment
MODEL DEVELOPMENT
4
Exploratory Data Analysis (EDA)
FEATURE ENGINEERING
5
Feature Engineering
MODEL TRAINING
6
Data Splitting
7
Model Fitting
8
Model Evaluation
9
Model Validation
PARAMETER TUNING
10
Hyperparameter Tuning
MODEL DEPLOYMENT
11
Model Deployment
APPENDIX
A
Modeling Ideas
B
Using ML helper function
C
IMAP GitHub Repos
D
Session Information
References
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References
D
Session Information
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