This repository contains projects showcasing various data analysis and machine learning techniques using Python and popular libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. Topics covered in ths class: spanning data collection, cleaning, augmentation, model building, evaluation, and interpretation, gaining practical skills applicable to real-world data science scenarios
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Classwork for CS M148 (Introduction to Data Science)
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