fastml takes data from raw form to tuned models with explainability in a single function call.
Here is a thread on solving Customer Churn in <10 lines of code. 🧵👇
#rstats #datascience
github.com/selcukorkmaz...
fastml takes data from raw form to tuned models with explainability in a single function call.
Here is a thread on solving Customer Churn in <10 lines of code. 🧵👇
#rstats #datascience
github.com/selcukorkmaz...
• Automated model training and tuning
• Leakage-safe resampling by design
• Built-in survival analysis
• Integrated explainability
A streamlined way to build reliable models with minimal code.
#rstats #machinelearning #datascience
• Automated model training and tuning
• Leakage-safe resampling by design
• Built-in survival analysis
• Integrated explainability
A streamlined way to build reliable models with minimal code.
#rstats #machinelearning #datascience
• Automated model training and tuning
• Leakage-safe resampling by design
• Built-in survival analysis
• Integrated explainability
A streamlined way to build reliable models with minimal code.
#rstats #machinelearning #datascience
• Automated model training and tuning
• Leakage-safe resampling by design
• Built-in survival analysis
• Integrated explainability
A streamlined way to build reliable models with minimal code.
#rstats #machinelearning #datascience
If you’ve used tidymodels or mlr3, you know the workflow can become verbose: recipes, encoders, CV folds, tuning grids, leakage risks…
fastml aims to solve this.
cran.r-project.org/web/packages...
If you’ve used tidymodels or mlr3, you know the workflow can become verbose: recipes, encoders, CV folds, tuning grids, leakage risks…
fastml aims to solve this.
cran.r-project.org/web/packages...