rafimikail's Stars
dbt-labs/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
matheusfacure/causal-inference-in-python-code
Code for the Book Causal Inference in Python
py-econometrics/pyfixest
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
microsoft/csuite
CSuite: A Suite of Benchmark Datasets for Causality
lewisbails/cem
cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inference on observational data.
hendurhance/ui-ux
📚 This guide is designed to help you learn UI/UX design, and is divided into three levels: Beginner, Intermediate, and Expert. It includes learning resource, guides and tools that cover all aspects of designing user interfaces and user experiences.
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
PetalsOnWind/Statistics-and-Econometrics-for-Data-Science
This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
rafimikail/Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
byukan/Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
vkoul/Econ-Data-Science
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
weijie-chen/Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
amit-sharma/causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
laurencium/Causalinference
Causal Inference in Python
matthewvowels1/Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
ossu/data-science
:bar_chart: Path to a free self-taught education in Data Science!
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
irfnrdh/Awesome-Indonesia-NLP
Resource NLP & Bahasa
kdn251/interviews
Everything you need to know to get the job.
siriwatknp/mui-treasury
A collection of ready-to-use components based on Material-UI
gothinkster/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained