Author: Graham Harrison
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How to structure your Python package projects to ensure efficiency, effectiveness and future-proofing
17 min read -
How to detect and fix any type of error in a directed acyclic graph so…
36 min read -
Understanding V-Structures and the Role They Play in Causal Validation and Causal Inference
Data ScienceHow to Detect and Correct the Direction of Causal Links in a Directed Acyclic Graph…
33 min read -
Understanding Junctions (Chains, Forks and Colliders) and the Role they Play in Causal Inference
Data ScienceExplaining junctions using correlation, independence and regression to understand their critical importance in causal inference
29 min read -
Understanding Independence and Why it is Critical in Causal Inference and Causal Validation
Data ScienceUnderstanding Independence and Why It Is Critical in Causal Inference and Causal Validation A step-by-step…
29 min read -
Demystifying Dependence and Why it is Important in Causal Inference and Causal Validation
Data ScienceDemystifying Dependence and Why it Is Important in Causal Inference and Causal Validation A step-by-step…
19 min read -
How to Extend Pandas DataFrames with Custom Methods to Supercharge Code Functionality & Readability
CodingA step-by-step guide to extending pandas DataFrames with custom methods including full examples for implementing…
7 min read -
A step-by-step explanation of Directed Acyclic Graphs from the basics through to more advanced aspects
45 min read -
Unlock the Power of Causal Inference & Front-door Adjustment: An In-depth Guide for Data Scientists
Data ScienceA full explanation of causal inference front-door adjustment with examples including all the Python source…
12 min read