Forecasting-Sales
This machine learning project seeks to forecast sales for certain product types (and their product #s) for an Electronics Retailer. To achieve this, various algorithms were trained and tested, including Random Forest, Support Vector Machines, Gradient Boosting, and Bayesian Ridge L1, in order to determine the top model to use for sales prediction deployment.
To view R Markdown, view Sales.md file.