yassinassafi/WQU-data-science-challenges
I successfully completed a 2-unit, 16-week and 6 mini-projects of the Data Science module at WorldQuant University. The mini-projects included scientific computing, data wrangling, machine learning and natural language processing with Python.
This collection demonstrates solutions to various data science problems, including scientific computing, data wrangling, and machine learning. It takes raw datasets, such as medical records or nursing home inspections, and produces analytical insights, predictions, or summarized information. Individuals learning or practicing data science would find these examples useful for understanding common techniques and workflows.
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Use this if you are a data science student or practitioner looking for concrete examples of problem-solving techniques in areas like data wrangling, basic machine learning, and natural language processing.
Not ideal if you are looking for a plug-and-play solution for a specific business problem or a production-ready application.
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Apr 12, 2021
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