onepounchman / ISLR-Exercises-Solutions
The unofficial solutions to An Introduction to Statistical Learning with Applications in R (ISLR)
☆7Updated 5 years ago
Alternatives and similar repositories for ISLR-Exercises-Solutions:
Users that are interested in ISLR-Exercises-Solutions are comparing it to the libraries listed below
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆85Updated last week
- Credit-Risk Modelling Libraries☆114Updated 6 years ago
- This python package estimates dynamic panel data model using difference GMM and system GMM.☆24Updated 10 months ago
- A set of notebooks the provide an introduction to Python.☆95Updated 10 months ago
- Python for Finance module for Imperial MSc in Mathematics and Finance☆94Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆134Updated 5 months ago
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆25Updated this week
- qrm☆229Updated last year
- ☆50Updated last year
- Implementation of Modern Portfolio Theory and Black Litterman Model☆19Updated 2 years ago
- 📒 A collection of notes exploring Quantitative Finance concepts with Python☆58Updated 9 months ago
- Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard☆74Updated 3 years ago
- Python version of Mixed Data Sampling (MIDAS) regression (allow for multivariate MIDAS)☆60Updated 3 years ago
- A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)☆47Updated 2 months ago
- ☆69Updated 3 years ago
- Computational Statistics and Statistical Computing☆37Updated 3 years ago
- Bayesian Statistics-Econometrics☆83Updated 7 months ago
- Materials Collection for Causal Inference☆42Updated last year
- Empirical Data and Some Simulation Codes☆101Updated 5 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆48Updated 4 years ago
- Python implementation of the midasml approach☆22Updated 2 months ago
- Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH☆80Updated 2 years ago
- Statistical Inference Course☆39Updated last month
- ☆15Updated 10 months ago
- Lecture Notes on Statistical Inference☆75Updated 3 months ago
- Forecasting CPI Inflation with Hierarchical Recurrent Neural Networks☆25Updated 10 months ago
- MD&A sections from 10-Ks; 2002-2018☆33Updated last month
- Code and notebooks for my Medium blog posts☆117Updated 10 months ago
- Lifetime Expected Credit Loss calculation under IFRS 9☆12Updated 7 years ago
- Python code for Computer Age Statistical Inference☆50Updated 5 years ago