GitHub topics: tp-fp
shaunwang1350/CreditLoans_MachineLearning
Credit risk is an inherently unbalanced classification problem, as the number of good loans easily outnumber the number of risky loans. I employed Machine Learning techniques to train and evaluate models with unbalanced classes. I used imbalanced-learn and scikit-learn libraries to build and evaluate models using resampling. I also evaluated the performance of these models and made a recommendation on whether they should be used to predict credit risk.
Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
joydeepmedhi/Tensorflow-Object-Detection-API
TF Object Detection API with simultaneous validation & more validation metrics!
Language: Python - Size: 35.7 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0
