Predict purchase amount of customers against various products

Predict purchase amount of customers against various products

In this project, we will build a model to predict the purchase amount of customers against various products which will help a retail company to create personalized offer for customers against different products.

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Shailesh Kurdekar

Solutions Architect at Capital One

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. I was referred here by a... Read More

Arvind Sodhi

VP - Data Architect, CDO at Deutsche Bank

I have extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... Read More

What will you learn

Selection of algorithm specific to problem
How to prepare the data for ML algorithms
How to visualize the data
Understanding Ensemble techniques like GBM & Random forest and XGB
Model Regularization(Bias & Variance Tradeoff)
How to apply Neural Network on regression problem
Model Validation

Project Description

A retail company ABC Private Limited wants to understand the customer purchase behaviour (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.

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Curriculum For This Mini Project