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Pipeable steps for feature engineering and data preprocessing to prepare for modeling
BAyesian Model-Building Interface (Bambi) in Python.
rafimikail / pyfixest
Forked from py-econometrics/pyfixestFast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
How to use the DockerOperator in Airflow within Docker Compose?
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Code for the Book Causal Inference in Python
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inference on observational data.
📚 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…
Learn ML engineering for free in 4 months!
Free MLOps course from DataTalks.Club
Free Data Engineering course!
This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science
A curated list of causal inference libraries, resources, and applications.
A curated list of awesome work on causal inference, particularly in machine learning.
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 ma…
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
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 wit…
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 graphic…
Uplift modeling and causal inference with machine learning algorithms
Repository with code and slides for a tutorial on causal inference.
A curated list of awesome work on causal inference, particularly in machine learning.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
📊 Path to a free self-taught education in Data Science!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.