Lending Club Data Analysis

Steps to run the code

docker pull jainpranj/lending-club-data-analysis .

docker run -ti lending-club-analysis --module upload_to_S3 UploadDataToS3 --workers 4 --local-scheduler 
--EMAIL <your-lending-club-login-email> --PASSWORD <your-lending-club-password> 
--aws-access-key-id <your-aws-access-key-id> --aws-secret-access-key <your-aws-secret-access-key>

Notebooks to look at :

All py files inside code/luigi/tasks/

Regression

python/Regression_Feature_Selection_Full_Data.ipynb python/Regression_K-means.ipynb python/Regression_Manual_Clustering.ipynb

Classification

python/Classification.ipynb

Clustering

work/Clustering_consolidated.ipynb

Summarization of lending dataset

Data-Analysis.ipynb

PART 1

Summarization-Lending-Club-Data-Set.pdf REPORT_1.docx Report link (google_sheet)

PART 2

REPORT_1.docx

FRONT END APPLICATION REPO LINK

https://github.com/jainpranj/learning-flask

POWER BI DASHBOARD:

Power BI Dashboard Link

References:

[1] hickford/MechanicalSoup : A Python library for automating interaction with websites

[2] pysysops/docker-luigi-taskrunner: Docker container to make running Luigi tasks real easy.

[3] Dervied Columns Links revolving utilization

[4] Power BI Dashboard Link

[5] lendingclub-review-borrowers-insiders-reveal

[6] FICO-booklet