gravatar

bleon04

Berenice Leon Canseco

Recently Published

Understanding How Personal Attributes Affect the Cost of Insurance Using Multiple Linear Regression
Understanding how personal attributes like age, gender, body mass index, number of children, smoking habits and region impact premium rates. By analyzing a detailed dataset, we seek to identify key predictors of premium costs and provide insights into promoting equitable pricing in the health insurance industry.
Chapter 17 (Basic Time Series Analysis)
Use Different methods for Basic Times Series Analysis : Naive Approach, Moving Averages/Exponential Smoothing, and Linear Trend Regression approach.
classification model
predict student retention for lakeland college