PacktPublishing/Causal-Inference-and-Discovery-in-Python
A Packt Publishing book with code examples teaching causal inference and discovery techniques in Python.
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This repository accompanies the book ‘Causal Inference and Discovery in Python’ published by Packt. It contains Jupyter notebooks with code examples demonstrating causal inference methods, causal discovery algorithms, and related statistical techniques. The content covers establishing cause-and-effect relationships from data using Python libraries and implementations.
Frequently asked
- What is PacktPublishing/Causal-Inference-and-Discovery-in-Python?
- A Packt Publishing book with code examples teaching causal inference and discovery techniques in Python.
- Is Causal-Inference-and-Discovery-in-Python open source?
- Yes — PacktPublishing/Causal-Inference-and-Discovery-in-Python is open source, released under the MIT license.
- What language is Causal-Inference-and-Discovery-in-Python written in?
- PacktPublishing/Causal-Inference-and-Discovery-in-Python is primarily written in Jupyter Notebook.
- How popular is Causal-Inference-and-Discovery-in-Python?
- PacktPublishing/Causal-Inference-and-Discovery-in-Python has 1k stars on GitHub.
- Where can I find Causal-Inference-and-Discovery-in-Python?
- PacktPublishing/Causal-Inference-and-Discovery-in-Python is on GitHub at https://github.com/PacktPublishing/Causal-Inference-and-Discovery-in-Python.