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Name: Himalaya mandal
Type: User
Name: Himalaya mandal
Type: User
Future Group has built an attractive portfolio of some of the fastest growing consumer brands in India. Around 400 million customers walk into their stores each year and choose products and services supplied by over 30,000 small, medium and large entrepreneurs and manufacturers from across India. Future Group employs a staggering 36000 people directly from every section of Indian society. Not just employment, the group wants to usher positive socio-economic changes across all section of India societies. In retail, Big Bazaar is the most popular brand by Future Group. Big Bazaar has retail outlets across major metropolitan cities in India. The company wants to use machine learning to better understand customer behaviour and understand their buying needs better. In this problem, you've to predict clusters of customers by store location. Knowing the set of customers that behave evenly will help them target their product promotions accordingly. The dataset consists of Big Bazar consumers. Question 2 contains the complete data set. For this problem, you'll be working on a sample of that data set. BigBazaar runs various loyalty programs, festive offers which provide their customer more opportunities to avail discounts. Customers can use these offers or loyalty program to either avail discount or make payment.
This a simple python code which crawl in whole website and picup every link hidden inside.
bigbazar customer data analysis
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