Linear Regression - To make predictions for sales forecast, price optimization, marketing optimization, financial risk assessment. Logistic Regression - To predict customer churn, to predict response versus advertisement spending, predict lifetime value of customer, and to monitor how business decisions affect predicted churn rates. Naive Bayes - Build spam detector, analyze customer sentiments, or automatically categorize products, customers or competitors. K-means clustering - Useful for cost modeling and customer segmentation Hierarchical clustering - Model business processes, or to segment customers based on survey responses, hierarchical clustering will probably come in handy. K-nearest neighbor classification - Type of instance based learning. use it for text document classification, financial distress prediction modeling, and competitor analysis and classification. Principal component analysis - Dimensionality reduction method that you can use for detecting fraud, for s