Predicting the Age of an Abalone

This project covered Exploratory Data Analysis, Data Preprocessing, and Model Evaluation for Linear Regression. A dataset containing the physical characteristics of abalones was used to predict the age of an abalone. I took the approach by using both the statsmodels.api and sklearn frameworks to identify the significance of each feature as well as produce a predictive machine learning model.

This was submitted as part of datacamp’s coding competition: “Predicting the Age of an Abalone”

See full submission here.