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.
Course description
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.
Technology
Python
Language
En
Rating
Chapters
7
Data Ingestion & Quality Check
Data Cleaning & Standardization
Feature Engineering
The Anatomy of a "Swappable" Book
Quality vs. Hype
The "Hollywood Effect"
Keyword Mining
0%
Data Ingestion & Quality Check
Data Cleaning & Standardization
Feature Engineering
The Anatomy of a "Swappable" Book
Quality vs. Hype
The "Hollywood Effect"
Keyword Mining
