The files attached are a Jupyter Notebook (Containing the code files and the explanation of the code and analysis) and a csv file (CREDIT_SCORE_DATA.csv) this contains the result in the format of the sample entry data. To run the Jupyter notebook, it might be necessary to download the basic dependencies and libraries, such as Sklearn, pandas, numpy, etc. So as to allow for smooth running of the code.
linda-oranya/Credit-Scoring-Model
An algorithm that scores IDs and predicts the probability of an individual defaulting a loan or not
Jupyter Notebook