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Arizona State University DAT 301: Exploring Data in R and Python Homework 3

Visualised the distribution of variables in the World Population Dataset.

Data manipulation, EDA, Logistic regression fitting, used ROC curve and half-normal plot (hnp) to evaluate the model’s performance.

Identification and handling of outliers to ensure model performance; analysis of the correlations to understand the relationships between variables. Developed a decision tree classifier to predict customer purchase behavior based on demographic and behavioral data.

Analysed and visualised sentiment patterns in social media data to understand public opinion and attitudes towards specific topics or brands.