MMBazel/Springboard-DataScienceTrack-Student

A comprehensive curriculum portfolio spanning foundational Python data science through advanced NLP, featuring hands-on projects in data wrangling (SQL, APIs, JSON/CSV parsing), statistical inference, and machine learning (scikit-learn classifiers, ensemble methods, hyperparameter tuning). The NLP track applies NLTK, spaCy, word2vec embeddings, and TensorFlow for text processing, while demonstrating distributed computing with Spark and software engineering best practices for production data science workflows.

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