Analyzing Book Popularity
Arsenii Drobotenko
Python
7 Chapters
0 Studying now
A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.
Опис курсу
A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.
Технологія
Python
Мова
En
Відгуки
Розділи
7
Data Ingestion & Quality Check
Data Cleaning & Standardization
Feature Engineering
The Anatomy of a "Swappable" Book
Quality vs. Hype
The "Hollywood Effect"
Keyword Mining
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Data Ingestion & Quality Check
Data Cleaning & Standardization
Feature Engineering
The Anatomy of a "Swappable" Book
Quality vs. Hype
The "Hollywood Effect"
Keyword Mining
