Welcome to this repository! This project uses data science and machine learning to predict retail product sales prices. It includes a robust data preprocessing pipeline, handles outliers, and features an ensemble model. With real-time predictions through a user-friendly Flask app and API, it's a game-changer for businesses seeking accurate sales.

Stores Sales Prediction iNeuron Internship ML Project

Stores Sales Prediction ML Project

ML final projects, 3 different projects: australia rain_binary_class , car price prediction and stores sales predictions

BigMart sales dataset consists of 2013 sales data for 1559 products across 10 different outlets in different cities. The goal of the BigMart sales prediction ML project is to build a regression model to predict the sales of each of 1559 products for the following year in each of the 10 different BigMart outlets. The BigMart sales dataset also consists of certain attributes for each product and store. This model helps BigMart understand the properties of products and stores that play an important role in increasing their overall sales.