Topic: financial-institutions Goto Github
Some thing interesting about financial-institutions
Some thing interesting about financial-institutions
financial-institutions,Enhancing Credit analysis using Geospatial techniques. The predictive model is built on logistic regression and decision tree algorithms and produces an estimated default probability of the applicant. Models are built on normalised data to cover all possible scenarios from real life. The predictive probability will determine good and bad customers by classifying them into four categories. The output from predictive models is used on tableau to generate business dashboard. Models ability to classify and performance measurements were measured by using statistical metrics: Gini, KS and AUROC.
User: 01shruti
financial-institutions,An open-source database that compiles comprehensive information for banks worldwide, including logos, official names, SWIFT codes, email addresses, websites, card colors, text colors, brand colors, countries, and customer service details. It also provides readily available packages for easy integration.
User: abdalrhman-alajlouni
Home Page: https://banksdataworldwide.com
financial-institutions,MFM community development code
Organization: bfi-mfm
financial-institutions,Simplify the task of exporting financial data from banking websites.
Organization: bunsn
financial-institutions,Search in Europe for consulting gigs
User: dantravels
financial-institutions,Generate a machine-readable .txt blocklist of websites affiliated with unregulated persons who, based on information received by the Monetary Authority of Singapore (MAS), may have been wrongly perceived as being licensed or regulated by MAS.
User: elliotwutingfeng
financial-institutions,Generate a machine-readable .txt allowlist of websites belonging to financial institutions regulated by the Monetary Authority of Singapore (MAS).
User: elliotwutingfeng
financial-institutions,Course draft - bank corporate lending
User: epogrebnyak
Home Page: https://tinyurl.com/bank-corp-credit
financial-institutions,Loan Management System and daily collection Api For Financial institutions.
User: harmonizerblinks
Home Page: https://dedawa.acyst.tech/swagger
financial-institutions,This is designed to both extend my knowledge and to give me the feel and experience of a real world financial world - data science problem.
User: merrcury
financial-institutions,A table of the prices for having local bank account details in different countries (for financial institutions).
User: mikaeldui
financial-institutions,Fuzzy FedACH and FedWire ABA Routing Number and Bank Name Lookup.
Organization: moov-io
Home Page: https://moov-io.github.io/fed/
financial-institutions,Simple definitions of terms, acronyms, abbreviations, companies, and projects related to financial services and Moov.
Organization: moov-io
financial-institutions,A robust model to help the financial organization to predict the capital amount required to cover losses and using which they can also determine the capitalization rate which is a measure of the amount the firm stands to lose if an instrument fails relative to the amount of capital required to cover losses.
User: neel-ds
financial-institutions,Open Finance Protocol
Organization: openware
Home Page: http://www.open-finance.org
financial-institutions,Sample code of how to integrate with Sophtron data API. Currently support financial, utility, phone, internet and other vendor billing accounts.
User: sophtron
financial-institutions,A framework for systemic risk valuation and analysis.
User: tommasobelluzzo
financial-institutions,Javascript SDK compatible with Node JS generated against the Yapily API. This SDK can be used to connect to Open Banking entities.
Organization: yapily
Home Page: https://yapily.com
financial-institutions,Python SDK generated against the Yapily API. This SDK can be used to connect to Open Banking entities.
Organization: yapily
Home Page: https://yapily.com
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