Statistics, Data Analysis: Correlations & Liver Patient Data

This assignment explores statistical correlations and data analysis, focusing on the Indian Liver Patient Dataset. It includes analyzing Pearson, Spearman, and Kendall correlations, identifying data point scenarios, and performing logistic regression to classify liver disease using the provided dataset. The solution includes code for logistic regression, histograms, box plots, and correlation matrices. The analysis reveals the accuracy of the logistic regression classifier and provides detailed statistical results. Additionally, the assignment investigates theoretical scenarios regarding the relationships between different correlation coefficients and their feasibility. Desklib provides access to this and other solved assignments for students.