khanzanbaz123's Projects
code snippet for analytics sessions
The Python/R/Julia/C++/CudaC++ codes and LaTeX/LyX files for the "Bayesian Computational Statistics" series at my YouTube channel
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Must-read papers and resources related to causal inference and machine (deep) learning
Uplift modeling and causal inference with machine learning algorithms
A Python library that helps data scientists to infer causation rather than observing correlation.
A Python 3 package for learning Bayesian Networks (DAGs) from data. Implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
This repository hosts the code and data from the GAUSS blog
Enables the use of Stata together with Python via Jupyter (IPython) notebooks.
Config files for my GitHub profile.
This is a project on classifying images of hand-written digits of students
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Python for Finance (O'Reilly)
Python-based API-Wrapper to access Scopus
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
This is the companion repo of the O'Reilly book "Python for Excel".
It contains basic codes of python
Python Data Science Handbook: full text in Jupyter Notebooks
A set of jupyter notebooks on pytorch functions with examples
IPython notebooks from Quantopian
Portfolio analytics for quants, written in Python
Outdated package! Package has been renamed to pybliometrics.
Create reports using Scopus data automatically in Python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
Python module that makes using the World Bank's API a lot easier and more intuitive.
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
The World Bank Data in Python