DSML-book / LecturesLinks
☆17Updated 3 years ago
Alternatives and similar repositories for Lectures
Users that are interested in Lectures are comparing it to the libraries listed below
Sorting:
- This file includes the code I've written for the course Numerical Method in finance, Stochastic Calculus in Spring 2020.☆10Updated 5 years ago
- Solutions manual with odd-numbered solutions☆25Updated 3 years ago
- Financial Strategy Resources☆16Updated 3 years ago
- ☆28Updated 3 years ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆55Updated 3 weeks ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆38Updated last month
- Time series regime analysis in python☆13Updated 2 years ago
- Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2…☆23Updated 4 years ago
- Programs☆109Updated 6 months ago
- 👾 This repository contains files related to my personal website. Charts, Jupyter notebooks, random notes, etc.☆16Updated 7 months ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 9 months ago
- A Quantitative Finance Engineering Project☆13Updated 2 years ago
- ☆13Updated last year
- 📝 Introduction to Monte Carlo methods in Finance Workshop Materials☆19Updated 2 years ago
- Notebooks that support https://python-advanced.quantecon.org☆19Updated last week
- source code☆42Updated 4 years ago
- Awesome list and projects of Time Series☆29Updated last year
- Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.☆29Updated 3 months ago
- ECON457 2018 Applied Computational Economics and Finance☆27Updated 7 years ago
- Statistical Inference Course☆42Updated 5 months ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆28Updated 3 weeks ago
- Tutorial on time-series forcasting with scikit-learn☆33Updated 2 years ago
- ☆14Updated 2 months ago
- Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.☆21Updated last year
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆73Updated last year
- Forecasting: Principles and Practice☆59Updated 3 years ago
- ☆16Updated 5 months ago
- Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot☆11Updated 7 years ago
- Code for Machine Learning for Algorithmic Trading, 2nd edition.☆19Updated 2 years ago
- Tutorials for the InvestOps Python package☆13Updated 3 years ago