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Integration:  dvc git github
7c91cd564e
remove ignored files
6 years ago
b6a7cadd84
standardized how to munge data via j_utils
5 years ago
fad55ae9f4
starting cleanup
5 years ago
b6a7cadd84
standardized how to munge data via j_utils
5 years ago
b6a7cadd84
standardized how to munge data via j_utils
5 years ago
5f217e248a
used pipreqs to add first requirements.txt.
5 years ago
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comment out pyest for travis
5 years ago
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adding some stages to BO pipeline
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first commit
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updated example_account_info.py to reflect changes to invest_script{_instant}.py. Notable changes are sending e-mails and writing to google spreadsheets loan counts in release batches.
5 years ago
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starting cleanup
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README.md

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lendingclub

For data driven loan selection on lendingclub. Important packages are sklearn, pandas, numpy, pytorch, fastai.

  1. Current model is RF (sklearn) + NN (pytorch). Performance was compared against picking entirely at random and picking at random within the best performing loan grade historically.
  2. Investigative models are trained on old done loans and validated on newest of old done loans.
  3. Models used in invest scripts are trained on all available training data.

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