Customer recommendation system for Amazon products

Short description

Building a system to recommend the best Amazon products to the customers, using machine learning techniques

Background

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Objective

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Client Name

MIT Applied Data Science Program

Release Date

March 18, 2022

Project Types

Recommendation Systems, Data Science

Skills

Exploratory Data Analysis, Data Preparation, Hyper-parameter Tuning, Rank Based Recommendation System, Collaborative Filtering Based Recommendation System (Similarity/Neighborhood), User-User Similarity Based, Item-Item Similarity, Model Based Recommendation System

Tools

Python 3, Jupyter Notebooks, JetBrains DataSpell, Anaconda

Data set

Data type: string, float
Size: 7,824,482 records

Results

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Customer recommendation system for Amazon products