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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.
In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.
Forecast the business for the upcoming years by Exploring Hidden Trends, Calculating Machine Productivity , Extrapolation and Assumptions and Summarizing Answers through Visualizations.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.