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
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.
Calculate loan amortization from the terminal, yields results as Html file with JS charts
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 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.
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.
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.
Helps with understanding and managing loans/mortgages
This is a project to create mortgage calculator
A program to allow the user to access two different financial calculators: an investment calculator and a home loan repayment calculator.
API to provide optimal payment allocation for credit cards - optimal means less accrued interest rate
Classification of home loans using Logistic Regression, Decision Tree and Random Forest algorithms.
SDFR i.e. Self Drive Financial Resources is handy tool how to keep your free money in touch with passive income.
Decision Tree for Predicting Clients who Default on their Loans
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