🚀 Tired of writing 200 lines of code just to train and tune models in R? Meet fastml.

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...

1/8 Building a machine learning model that truly generalizes depends on a few simple but critical rules. If these are violated, the model can look great on paper but collapse in the real world.

fastml brings a unified machine-learning workflow to R.

• 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

PubChemR gives fast, reproducible access to PubChem data including CIDs, SIDs, assays, structures and annotations directly in R, streamlining chemical-data workflows for analysis and ML.

#RStats #Cheminformatics #Bioinformatics cran.r-project.org/web/packages...

PubChemR gives fast, reproducible access to PubChem data including CIDs, SIDs, assays, structures and annotations directly in R, streamlining chemical-data workflows for analysis and ML.

#RStats #Cheminformatics #Bioinformatics cran.r-project.org/web/packages...

fastml is an R package that builds leak-free, fully reproducible machine-learning pipelines with minimal code. It automates splitting, preprocessing, tuning, and evaluation while enforcing strict anti-leakage rules and providing integrated explainability tools.
#MachineLearning #Rstats #DataScience

fastml is an R package that builds leak-free, fully reproducible machine-learning pipelines with minimal code. It automates splitting, preprocessing, tuning, and evaluation while enforcing strict anti-leakage rules and providing integrated explainability tools.
#MachineLearning #Rstats #DataScience

🚀 Stop writing hundreds of lines of boilerplate code for Machine Learning in R.

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...