GitHub / Abrar2652 / IEEE-CIS-Fraud-Detection-Project
This is the first project to be completed in Upskill ISA Intelligent Machines. The project was done after the end of the competition. The XGBClassifier used in this model obtained 0.950844 public scores on Kaggle.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abrar2652%2FIEEE-CIS-Fraud-Detection-Project
PURL: pkg:github/Abrar2652/IEEE-CIS-Fraud-Detection-Project
Stars: 0
Forks: 0
Open issues: 0
License: apache-2.0
Language: Jupyter Notebook
Size: 11.2 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: about 2 years ago
Topics: data-science, data-visualization, machine-learning, matplotlib, numpy, pandas, xgbclassifier