Sales Prediction

Project description

Fine-tune the given data set(s) in a different form of analysis to understand the insights of the key characteristics of various entities of the data set like column(s), row(s) by applying Pandas, NumPy, Statistical Methods, and Data visualization packages.

Demonstrate the machine learning models that can predict target sales for any commercial facilities with as minimum as possible mean squared log error equal to: 0.564.