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Hi there! My name is Zanbaz Ahmed Khan. I am a student of Economics and Statistics and a Data Scientist.
I have taken my Data Science training from the Indian Institute of Technology, Roorkee I have worked on projects that include churning of emails in Python, predicting housing values in California, Image classification I am looking for Data Science Projects. I am open to all kinds of projects You can contact me on my email: [email protected]

khanzanbaz123's Projects

bayes_comp_stat icon 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 icon brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

causal-ml icon causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex icon causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

dagma icon 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"

gauss_blog icon gauss_blog

This repository hosts the code and data from the GAUSS blog

ipystata icon ipystata

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

machine-learning icon machine-learning

This is a project on classifying images of hand-written digits of students

notears icon notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

pgmpy icon pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

py4fi icon py4fi

Python for Finance (O'Reilly)

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-causality-handbook icon python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

quantstats icon quantstats

Portfolio analytics for quants, written in Python

scopus icon scopus

Outdated package! Package has been renamed to pybliometrics.

statsintro_python icon statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

wbgapi icon wbgapi

Python module that makes using the World Bank's API a lot easier and more intuitive.

wooldridge icon wooldridge

A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)

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