Closed deepanshubaghel closed 1 day ago
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Latest Merged PR Link
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Project Description
This project analyzes a dataset of best-selling books to uncover trends and patterns in pricing, ratings, reviews, and genres. Exploratory Data Analysis (EDA) includes visualizations like histograms, scatter plots, and pair plots to better understand the relationship between different variables. The project also employs machine learning models (e.g., Random Forest, K-Nearest Neighbors, XGBoost, Logistic Regression) to classify books based on their features. The Random Forest model achieves the highest accuracy. Data is preprocessed using techniques such as label encoding and scaling, and model performance is evaluated using classification metrics.
Full Name
Deepanshu Baghel
Participant Role
gssoc-ext