- 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.
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Set up requirements.txt and install packages into conda env
Update MLflow Recipes Readme Mindmap
Connect to sqlite database for local MLflow tracking
Use Flaml for AutoML
https://github.com/microsoft/FLAML
https://microsoft.github.io/FLAML/docs/Examples/AutoML-Classification
from flaml import AutoML
automl = AutoML()
automl.fit(X_train, y_train, task="classification")
Run code from this tutorial
Get tracking UI working with actual model runs
Read this about MLflow usage
Perform second run and compare results
Put Flaml AutoML in SKlearn pipeline
Use Paris housing prices data
Play with UI to view runs
Perform first run of model using defaults
Use MLflow.data
Experiment with different model architectures
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