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Create personalized offers for customers based on spending habits

In this project, you will build a model to predict the purchase amount of customer against the various product which will help them to create personalized offer for customers against different products.
4.44.4

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What will you learn

  • Advanced Exploratory Data Analysis
  • Advanced Feature Engineering
  • Visualization using multiple Advanced Functions
  • Regressor Modelling Technique
  • Ensemble models
  • Evaluation and can participate in competition

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • Language used: Python

Project Description

A retail company “ABC Private Limited” wants to understand the customer purchase behavior (specifically, purchase amount) against various products of different categories. They have shared purchase summary of various customers for selected high volume products from last month.

The data set also contains customer demographics (age, gender, marital status, city_type, stay_in_current_city), product details (product_id and product category) and Total purchase_amount from last month.

Now, they want to build a model to predict the purchase amount of customer against various products which will help them to create personalized offer for customers against different products.

Instructors

 
Shaik

Data Scientist / Business Consultant at GE

3 years of rich working experience in BIG Data, Business Intelligence & Analytics with CMMI Level 5 Organizations in BFSI, Manufacturing Sector. Excellent written and oral communications, strong analytical and problem solving capabilities. Constantly learning and experimenting emerging open source tools and technologie see more...