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The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this machine learning project is to build a predictive model and find out the sales of each product at a particular store.
Using this machine learning model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Deep Learning Project using Keras Deep Learning Library to predict the effect of Genetic Variants to enable personalized Medicine.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Using this Kaggle dataset, you will explore which type of employees make less or more money, or which employees get normal pay hikes and promotions.