ryanschaub / Predicting-Loan-Interest-RatesLinks
In this project we will be using the publicly available and Kaggle-popular LendingClub data set to train Linear Regression and Extreme Gradient Descent Boosted Decision Tree models to predict interest rates assigned to loans. First, we will clean and prepare the data. This includes feature removal, feature engineering, and string processing.Th…
☆7Updated 6 years ago
Alternatives and similar repositories for Predicting-Loan-Interest-Rates
Users that are interested in Predicting-Loan-Interest-Rates are comparing it to the libraries listed below
Sorting:
- Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.☆17Updated last year
- In this project, high dimensional noisy data collected from thousands of trucks during the course of 4 years was compressed using Artific…☆13Updated 4 years ago
- Computational Finance And Financial Econometrics - This course is an introduction to computational finance and financial econometrics - d…☆9Updated 4 years ago
- A Program to calculate the price of American put or call option with Least Square Monte Carlo☆13Updated 2 years ago
- A pricing program for a whole-life insurance with annuity☆10Updated 4 years ago
- Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot☆11Updated 7 years ago
- This repository contains python code to create, backtest and automate intraday-trading algorithms in financial markets using Machine Lear…☆9Updated 3 years ago
- Code for my JavaScript browser-based retirement calculator http://www.abrandao.com/retire/☆11Updated 5 years ago
- Python methods to create a Ho-Lee binomial interest rate model for fixed income security pricing: caps, swaps, bonds, etc.☆12Updated last year
- Code for Machine Learning for Algorithmic Trading, 2nd edition.☆19Updated 3 years ago
- ☆15Updated 3 years ago
- Option Pricing with Machine Learning Methods☆13Updated last year
- https://www.researchgate.net/profile/Rajah_Iyer☆50Updated 11 months ago
- For UCLA BIOSTAT M215 (Survival Analysis) Homework☆10Updated 6 years ago
- Data package for R actuarial workshops☆12Updated 2 years ago
- This file includes the code I've written for the course Numerical Method in finance, Stochastic Calculus in Spring 2020.☆11Updated 5 years ago
- Examples for the RL course☆10Updated 4 months ago
- This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by R…☆14Updated last year
- Using Geometric Brownian Motion model to model stock price dynamics - First project using Python☆8Updated 5 years ago
- Individual Claims Forecasting with Bayesian Mixture Density Networks☆15Updated 2 years ago
- Open-source asset-liability model.☆21Updated 2 months ago
- ☆13Updated 9 years ago
- A repository for retirement and wealth management simulations.☆19Updated last year
- Scripts for validating retirement plans using Monte Carlo analysis.☆11Updated last year
- ☆13Updated last year
- Python package to solve actuarial life-contingent risks☆12Updated last year
- Application of machine/deep learning models & algorithms in the energy sector☆12Updated last year
- Resources for Quantitative Finance☆15Updated 2 years ago
- Shiny app for IFRS provisioning and estimated loss report☆9Updated 4 years ago
- Regression Monte Carlo for Optimal Stopping☆9Updated 2 years ago