Apress / implementing-machine-learning-finance
Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri
☆32Updated 3 years ago
Alternatives and similar repositories for implementing-machine-learning-finance:
Users that are interested in implementing-machine-learning-finance are comparing it to the libraries listed below
- Development space for PhD in Finance☆33Updated 5 years ago
- Simple portfolio analysis and management.☆28Updated 3 years ago
- Repository for teachings on Quant Finance☆49Updated 5 years ago
- Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…☆62Updated last week
- Jupyter Notebooks Collection for Learning Time Series Models☆70Updated 5 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆41Updated 5 years ago
- Stochastic volatility models☆18Updated 6 years ago
- Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine…☆40Updated this week
- Machine Learning for Quantitative Finance☆24Updated 6 years ago
- Hands-on Python for Finance [Video], Published by Packt☆32Updated 4 years ago
- Repository of all completed projects during the "AI for Trading" Nanodegree☆45Updated 2 years ago
- Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement…☆27Updated 5 years ago
- Quantitative finance research notebooks☆18Updated 5 years ago
- Teaching Resources for Cuemacro courses☆53Updated last month
- Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.☆21Updated 5 years ago
- ☆14Updated 5 years ago
- using the Inverse-Transform method to speed up options pricing simulations in R☆27Updated 5 years ago
- Code repository of Learning Quantitative Finance with R by Packt☆45Updated 2 years ago
- A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and…☆24Updated 4 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆73Updated 4 years ago
- Portfolio optimization with cvxopt☆37Updated 2 months ago
- Simulated GBM using MC simulation, estimated option' Greeks using numerical methods such as finite difference, pathwise derivative estima…☆31Updated 4 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- By means of stochastic volatility models☆44Updated 5 years ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Updated 6 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆38Updated 4 years ago
- Tools for investing in Python☆43Updated 3 years ago
- Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.☆40Updated last year
- Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference☆25Updated 2 years ago
- Tutorials about Machine Learning and Deep Learning☆30Updated 6 years ago