- ๐ญ Iโm a data scientist interested in clinical predictive models, clinical decision support tools, causal inference, MLOps tooling & machine learning engineering, deep learning, developer productivity tools and approaches, optimization problems, interactive data visualization, analytics and data engineering concepts, and product management.
kaggle-paris-housing-prices's Introduction
kaggle-paris-housing-prices's People
kaggle-paris-housing-prices's Issues
Investigate sklearn-auto
Refactor to allow for multiple architectures
Set up error analysis
Experiment with sampling from training dataset
Choose best model
Investigate using HuggingFace Autotrain Advanced
Research what refactoring is needed to run gridsearch or automl
Set up monitoring with evidently ai
Register model to MLflow Registry
Give model runs better names to identify model type
Figure out how to skip steps already run with no change to inputs
Set up MLflow integration
Use Dalex
Scale input data in transformer pipeline
Change model parameters to compare runs
Investigate FLAML
Save model as ONNX
Format predictions for submission
Investigate HyperOPT
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