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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
41125421f6
finished simplifying munging, tested hyperlearn SVD imputation and sadly slightly worse results
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
b6a7cadd84
standardized how to munge data via j_utils
5 years ago
c65d57cbd3
Added a first stage for pipeline
5 years ago
65a8057882
testing pull req
5 years ago
7984ec6767
first commit
6 years ago
1ebf9e7e01
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
2e6e1a99a8
fix to lc_utils
5 years ago
Storage Buckets

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.

added for testing jenkins/blue ocean #2

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