A framework for analysing financial products in personalized contexts
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Updated
Apr 12, 2023 - Python
A framework for analysing financial products in personalized contexts
LendingClub API interface
API to provide optimal payment allocation for credit cards - optimal means less accrued interest rate
Example contract of ruler protocol impemented on Neo N3 blockchain. Please be patient with RPC testing. Compiler: neo3-boa v0.8.2. Python 3.8 recommended for tests based on neo3vm.
Brief tutorial with code where you can automatically create a dictionary with ~10k German loan words for import into espeak-ng as additional phonemic improvement or extension. This is, for instance, useful with Text-to-Speech (TTS) tasks in order to improve preprocessing.
This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.
A loan management app to enable the business to originate, manage and disburse loans to their clients.
Bank Account Management System with Loan Feature
Automate the loan eligibility process by understanding the relation between the collected information and the chance of paying back the loan. More specifically, fitting a machine learning model for which given information about the application the model predicts whether the corresponding applicant will pay the loan or not.
This program is mainly used to figure out loan schedules for clients and can be used both by clients and loan providers to both show and save a document that has the loan schedule on it.
Quantum Banking System combines cutting-edge AI technology with modern banking features to provide an unparalleled financial management experience.
Decision Tree for Predicting Clients who Default on their Loans
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