khanzanbaz123's repositories
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
dagma
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"
khanzanbaz123
Config files for my GitHub profile.
gauss_blog
This repository hosts the code and data from the GAUSS blog
pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
causalml
Uplift modeling and causal inference with machine learning algorithms
brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
python-for-excel
This is the companion repo of the O'Reilly book "Python for Excel".
YouTube-Tutorials
Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pybliometrics
Python-based API-Wrapper to access Scopus
Machine-Learning
This is a project on classifying images of hand-written digits of students
Python-revison
It contains basic codes of python
quantstats
Portfolio analytics for quants, written in Python
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
wbgapi
Python module that makes using the World Bank's API a lot easier and more intuitive.
notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
py4fi
Python for Finance (O'Reilly)
world_bank_data
The World Bank Data in Python
analytics
code snippet for analytics sessions
Bayes_comp_stat
The Python/R/Julia/C++/CudaC++ codes and LaTeX/LyX files for the "Bayesian Computational Statistics" series at my YouTube channel
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
wooldridge
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
ipystata
Enables the use of Stata together with Python via Jupyter (IPython) notebooks.
Pytorch_Tutorial
A set of jupyter notebooks on pytorch functions with examples
scopus
Outdated package! Package has been renamed to pybliometrics.
scopus-report
Create reports using Scopus data automatically in Python