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