Python ML #08: Sales Forecast Tutorial with Linear Regression Model #machinelearning #coding #python

In this machine learning tutorial, you will learn how to forecast sales and compare actual and forecasted sales using different metrics such as mean squared error, mean absolute error and R2 score using Linear Regression model. We are going to use sales data from different stores from 2013 to 2017 [ items sold per day ]. ***Google Collab*** is being used in this tutorial instead of VS Code. ✨Download the dataset file : https://github.com/BekBrace/Sales-Forecast-data-csv ✨ GitHub Repo: https://github.com/BekBrace/Sales-Forecast/tree/main 🔗 Social Media -------------------------- Facebook : https://www.facebook.com/bekbrace​​​​ Twitter : https://twitter.com/BekBrace Instagram : https://www.instagram.com/bek_brace/ Tech Blog : ttps://dev.to/bekbrace​​​​ GitHub profile : https://github.com/BekBrace​​​ Website : https://bekbrace.com Join this channel to get access to perks: https://www.youtube.com/channel/UC7EVSn5inapL20oPSwAwEUg/join