Description of the Tasks:
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Conducted analysis comparing automated machine learning to traditional methods as part of the Standard Bank internship program.
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Utilized Python to explore, prepare, and analyze provided datasets.
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Addressed specific questions outlined in a Jupyter Notebook, focusing on simplicity and visual aids for effective communication.
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Presentation covered project overview, hypothesis formulation, process overview, data overview, analysis highlights, modeling approaches, evaluation comparisons, and recommendations.
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README provides a concise overview of task objectives, methodologies, and outcomes.
Link for Internship: https://www.theforage.com/simulations/standard-bank/data-science-nkln