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Runtime error
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Commit History
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cleaned up code/print statements/comments
Katherinee703447 -
ablation fix
Katherine58e5588 -
Merge branch 'katherine_branch'
Katherineac5cc9d -
revised readme/setup/added diagnose leakage back
Katherine04f77e4 -
file organization/deleting redundant files
Katherinecfaa360 -
Merge branch 'main' of https://github.com/sashpol111/burnout-tracker
Katherine17ef969 -
file organization / deletion
Katherinee3188b7 -
rewrite comments in data_loader.py and data_pipeline.py
fd99b8f -
created data pipeline engineering: 3 sources (apis and synthetic data) merged into 1 data set
Katherine3239ea2
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fixed error analysis
Katherine05977bf -
rewrote / fixed error_analysis. generates png of 4 visualizations
Katherine8799217 -
fixed ai coach--multi-step ML pipeline that connects multiple models
Katherine04fe416 -
implemented regularization techniques: l1/l2 & early stopping
Katherine9b132e1 -
fixed deterministic issue + created preprocessing data pipeline
Katherine4e48d40 -
preprocessing
Katherine003c0b8
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DistilBERT fine-tuning complete - F1 0.753 AUC 0.925
0753fe5 -
synthetic data pipeline - 310 entries generated, F1 improves 0.893 to 0.895
b025afa -
add synthetic data generation, error analysis, train with synthetic pipeline
be84f42 -
add error analysis with confusion matrix and failure case analysis
1ed515e -
ablation study - 5 feature set experiments documented
4f56e6d -
fix system_prompt bug in get_burnout_advice
768b66b -
add Groq LLM advisor with burnout coaching
c6e3694 -
add visualizations - feature importance, training curves, model comparison
12275db -
tune XGBoost with regularization - train 0.971 val 0.954
667d4b2 -
add data pipeline, baseline, and XGBoost model
c97e168