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AI Engineering Management: Exploratory Data Analysis (EDA) in Python — Understanding Data
PART III — AI Engineering Management
Prior Discussions:
PART I — AI Engineering Management: Is There a Methodology for AI Model Development?
PART II — AI Engineering Management: Estimating Effort for AI Model Development
Non-member Link:
Introduction
Exploratory Data Analysis, or EDA, is the gateway to understanding data. It’s where you uncover patterns, detect anomalies, and validate hypotheses, setting the foundation for robust data-driven decisions. Whether you’re building machine learning models or presenting insights to stakeholders, EDA ensures you approach your data with confidence and precision.
Why Python?
Python has become a cornerstone of the data analysis ecosystem, thanks to its powerful libraries and flexibility. While tools like R, SAS, and Tableau are popular for EDA, Python offers a unique blend of simplicity and extensibility. It empowers developers and analysts alike to manipulate data…
