GWU: Data Mining (Decision Sciences 6279)
Course materials for GWU's Data Mining and Machine Learning classes covering preprocessing, modeling, and practical Kaggle applications.
What is GWU: Data Mining (Decision Sciences 6279)?
GWU_data_mining is a collection of educational materials for George Washington University's Data Mining and Machine Learning courses. It provides structured learning resources covering data preprocessing, statistical modeling, machine learning algorithms, and practical applications through Kaggle competitions. The repository serves as a complete curriculum for students and professionals looking to build data science skills.
Graduate students in data science or analytics programs, particularly those at GWU, and self-learners seeking structured, university-level materials on data mining and machine learning.
It offers a comprehensive, applied curriculum with real-world project integration (Kaggle), support for multiple software tools, and a pre-configured Docker environment for easy setup, making it a practical resource for hands-on learning.
Overview
Materials for GWU DNSC 6279 and DNSC 6290.
Use Cases
Best For
- University students taking data mining or machine learning courses
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