Book-Sales-Analysis

A machine learning project for analyzing and predicting book sales using linear regression, anomaly detection, and clustering.

Features

• Dataset with 1,070 books
• Attributes: title, author, genre, ratings, sales, price
• Linear Regression for sales prediction
• Isolation Forest for anomaly detection
• K-Means clustering (4 clusters)

Data Source

Kaggle Dataset: Books_Data_Clean.csv