DSML-book / LecturesLinks
☆19Updated 3 years ago
Alternatives and similar repositories for Lectures
Users that are interested in Lectures are comparing it to the libraries listed below
Sorting:
- Statistical Inference Course☆42Updated 6 months 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
- Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot☆11Updated 7 years ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆33Updated 2 months ago
- source code☆43Updated 4 years ago
- Programs☆116Updated 8 months 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
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆74Updated last year
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- ☆30Updated 3 years ago
- Notebooks for https://python-programming.quantecon.org☆60Updated 2 weeks ago
- 📝 Introduction to Monte Carlo methods in Finance Workshop Materials☆20Updated 2 years ago
- Notebooks for a course☆39Updated 5 years ago
- Multivariate Data Analysis☆23Updated last year
- A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.☆50Updated 3 years ago
- ☆14Updated 4 months ago
- Bayesian Statistics-Econometrics☆88Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 10 months ago
- Source files for https://python.quantecon.org☆63Updated 3 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆105Updated 2 months ago
- Self study on Cryer and Chan's "Time series analysis with applications in R"☆39Updated 5 years ago
- Data science applied to problems in manufacturing (and some other ML stuff too).☆13Updated 3 years ago
- ECN 5090- Machine Learning in Economics and Finance (Python)☆78Updated 2 years ago
- Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard☆79Updated 3 years ago
- ☆24Updated last year
- Modern Time Series Forecasting with Python 2E, Published by Packt☆147Updated 2 weeks ago
- Forecasting: Principles and Practice☆59Updated 3 years ago
- Reference materials of "Probability & Statistics" IPE 205 course☆23Updated 6 years ago
- Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.☆29Updated last month
- The Regularization Cookbook, published by Packt☆14Updated 5 months ago