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ahmadwanwar / repository
A comprehensive Jupyter Notebook implementing data preprocessing, exploratory data analysis (EDA), and machine learning models to solve a predictive problem. The project demonstrates the complete workflow from data cleaning to model evaluation.
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This project presents an end-to-end machine learning pipeline built in Python using a Jupyter Notebook. It includes data preprocessing, feature engineering, visualization, and model training using standard ML algorithms. The notebook evaluates model performance using appropriate metrics and provides insights through visualizations.
It highlights practical skills in data analysis, model building, and interpretation, making it suitable for real-world predictive tasks and academic projects.
Selected from shared topics, language and repository description—not editorial ratings.
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