/SuperStore-Analysis-And-Feature-Selection

This data science project aims to assist a superstore giant in identifying crucial variables for predicting product prices. It employs Lasso regression for price prediction and utilizes scikit-learn for feature selection.

Primary LanguageJupyter Notebook

SuperStore_DataScience_project