Coupon Purchase Prediction Machine Learning Project

Coupon Purchase Prediction Machine Learning Project

In this machine learning project, we will predict which coupons a customer will buy.


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Lead Consultant, ITC Infotech

The project orientation is very much unique and it helps to understand the real time scenarios most of the industries are dealing with. And there is no limit, one can go through as many projects... Read More

Sujit Singh

Data Engineer, SullivanCotter

This has been a motivating experience. This has helped me execute Pig Latin and Hive commands to solve data problems. They take special care in regards to answering any questions and doubts I had... Read More

What will you learn

Understanding the problem statement
Importing a training dataset and testing
Installing necessary libraries and understanding its use
What is Data Munging
Visualization using Barplot
Visualization using Histogram
What is Gaussian distribution and how to visualize it
Visualizing distribution of other variables using ggplot
Creating a subset of variables to categorize them into similar types
Visualizing categorical variables using piechart
Converting categorical into numerical types
Data imputation for NA values
Feature engineering (creating new features from existing feature)
Cosine similarity and how does it works
Convert the data to dot product in a matrix format
Calculation of cosine similarities of users and coupons
Order the list of coupons according to similairties
Making final predictions and saving it into CSV format

Project Description

Recruit Ponpare is Japan's leading joint coupon site, offering huge discounts on everything from hot yoga, to gourmet sushi, to a summer concert bonanza. Ponpare's coupons open doors for customers they've only dreamed of stepping through. They can learn difficult to acquire skills, go on unheard of adventures, and dine like (and with) the stars.

Using past purchase and browsing behavior, this competition asks you to predict which coupons a customer will buy in a given period of time. The resulting models will be used to improve Ponpare's recommendation system, so they can make sure their customers don't miss out on their next favorite thing.

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Curriculum For This Mini Project

02h 34m
03h 17m