The accuracy of these methods will also be tested using metrics like log loss, Jaccard similarity coefficient and F 1 Score. These metrics are compared to determine the accuracy of prediction. This can help banks conserve their manpower and fiscal resources by reducing the number of steps they ...
visualization machine-learning random-forest data-analysis decision-tree-classifier loan-prediction Updated Dec 21, 2021 Python lucasthim / loan-prediction Star 4 Code Issues Pull requests Loan Prediction using Machine Learning algorithms data-science machine-learning loan-prediction Updated Apr 4...
Code Issues Pull requests Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost python machine-learning bank ml python3 xgboost hackerearth loan risk-assessment credit-scoring loan-data loan-default-prediction hackerexperience Updated Sep 4, 2022 Jupyter...
The Challenges of Using Machine Learning in Plants and the Next Technology after Prediction Recent advances in artificial intelligence and machine learning have created a step change in how to measure human development indicators, in particular asset based poverty. The combination of satellite imagery an...
Machine Learning Based Loan Allocation Prediction System For Banking Sector 作者: Sinha J.;Astya R.;Tripathi K.;Verma A.;Verma M.;摘要: Banking sector in India is overwhelmed with numerous applications by individual customers or organizations for different types of loans. Every year, we hear ...
Earthquake researcher, Charlotte King, has been featured in many news reports and studied extensively by the scientific community, and is most notably famous for her accurate prediction of the famous Mount St. Helen's eruption, in SW WASHINGTON STATE, which erupted at 8:32 A.M., on May 18...
Earthquake researcher, Charlotte King, has been featured in many news reports and studied extensively by the scientific community, and is most notably famous for her accurate prediction of the famous Mount St. Helen's eruption, in SW WASHINGTON STATE, which erupted at 8:32 A.M., on May 18...
Machine learningLoan predictionBankingDecision treeKNNLoan business is one of the major income sources for bank. Loan default problem is a major issue for loan business. Loans, specifically whether borrowers repay the loan or default on it, have a significant impact on a bank's profitability. By...
Code Issues Pull requests Credit Risk Modeling using XGBoost in Python data-science machine-learning modeling sklearn xgboost classification loan-data loan-default-prediction credit-risk xgboost-classifier loan-pred Updated Sep 24, 2024 Jupyter Notebook Improve this page Add a description, image...
pythondata-sciencemachine-learningaijupyter-notebookpython3pipdata-analysisloan-dataloan-applicationloan-predictionstreamlitstreamlit-application UpdatedMar 26, 2023 Jupyter Notebook Hervera/QuickCredit-Backend Star10 Code Issues Pull requests Quick Credit is an online lending platform that provides short term...