- 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
Research what refactoring is needed to run gridsearch or automl
Format predictions for submission
Figure out how to skip steps already run with no change to inputs
Register model to MLflow Registry
Scale input data in transformer pipeline
Choose best model
Refactor to allow for multiple architectures
Give model runs better names to identify model type
Use Dalex
Investigate sklearn-auto
Save model as ONNX
Set up monitoring with evidently ai
Investigate FLAML
Set up MLflow integration
Experiment with sampling from training dataset
Change model parameters to compare runs
Investigate HyperOPT
Investigate using HuggingFace Autotrain Advanced
Set up error analysis
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