Category: Business data analytics

Propose a business problem/scenario from any industry (e.g., retail, healthcare, banking, education) where: A supervised learning algorithm (e.g., logistic regression, decision trees) can be used. OR An unsupervised learning algorithm (e.g., k-means clustering, hierarchical clustering) can be applied. Attached Files (PDF/DOCX): Data Final Assignment 1.pdf Note: Content extraction from these files is restricted, please review…

Data Understanding & Preprocessing Briefly describe the dataset, including types of variables, number of observations, and sources. Apply necessary data cleaning and preprocessing techniques (e.g., handling missing values, outliers, encoding, and normalization). Justify the preprocessing steps taken. Attached Files (PDF/DOCX): Assignment 2 – CLO2docx.pdf Note: Content extraction from these files is restricted, please review them…