Description of the Tasks:

• Conducted analysis comparing automated machine learning to traditional methods as part of the Standard Bank internship program.

• Utilized Python to explore, prepare, and analyze provided datasets.

• Addressed specific questions outlined in a Jupyter Notebook, focusing on simplicity and visual aids for effective communication.

• Presentation covered project overview, hypothesis formulation, process overview, data overview, analysis highlights, modeling approaches, evaluation comparisons, and recommendations.

• README provides a concise overview of task objectives, methodologies, and outcomes.

Link for Internship: https://www.theforage.com/simulations/standard-bank/data-science-nkln