Zeki Akyol's starred repositories
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
doubleml-for-py
DoubleML - Double Machine Learning in Python
lost-stats.github.io
Source code for the Library of Statistical Techniques
codechella
Data, Code and other material for CodeChella concert
ISLR-Answers
Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
telling_stories
Telling Stories with Data
parquetize
R package that allows to convert databases of different formats to parquet format
ggpointgrid
R Package - Rearrange scatter plot points on a regular grid
RcppSparse
Seamless R and C++ integration for the sparse matrix dgCMatrix class