Modelado Tidy con R - Club de Lectura
Bienvenida
- Reuniones del club de lectura
1 Software para modelado
2 A tidyverse primer
3 A review of R modeling fundamentals
Revisión de Tidyverse
Basics
4 The Ames housing data
- 4.1 Pittsburgh: a parallel real world example
- 4.2 Videos de las reuniones
  - 4.2.1 Cohorte 1
5 Spending our data
6 Ajustando modelos con parsnip
AI Ethics
- 6.7 Videos de las reuniones
  - 6.7.1 Cohorte 1
7 A model workflow
8 Feature engineering with recipes
- 8.1 Videos de las reuniones
  - 8.1.1 Cohorte 1
9 Judging model effectiveness
Review of chapters 4-9
- 9.7 Videos de las reuniones
  - 9.7.1 Cohorte 1
Tools for Creating Effective Models
10 Resampling for evaluating performance
11 Comparing models with resampling
12 Model tuning and the dangers of overfitting
13 Grid search
14 Iterative search
15 Screening Many Models
Review of chapters 10-15
- 15.6 Videos de las reuniones
  - 15.6.1 Cohorte 1
16 Dimensionality reduction
Other Topics
17 Encoding categorical data
18 Explaining models and predictions
19 When should you trust predictions?
20 Ensembles of models
21 Inferential analysis
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Modelado Tidy con R - Club de Lectura

7.6 Videos de las reuniones

7.6.1 Cohorte 1

Chat de la reunión

00:51:36    Esme:   https://github.com/tidymodels/recipes/issues/543