ML, AI, and R: from Algo to Deployment
Setup
Setup
Preprocessing
Data Preprocessing for ML / AI
content/course/Modules/10-Preprocessing/eda.qmd
content/course/Modules/10-Preprocessing/missingdata.qmd
content/course/Modules/10-Preprocessing/outliers.qmd
content/course/Modules/10-Preprocessing/scaling.qmd
content/course/Modules/10-Preprocessing/dimensional
Sampling
Recipes
Models
Linear Regression with tidymodels
Logistic Regression
Random Forests for Classification
Boosting
Support Vector Machines
K-means Clustering
Ensembles as Emergent Systems: From Simple Trees to Collective Intelligence
Workflow
Model Tuning
Model Evaluation
Neural Nets and DL
Model Deployment
Setting up for Tidy Models
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Data Preprocessing for ML / AI