Amazon-Apparel-Recommendation-System
Business Problem
Problem Description
Build a recommendation engine which suggests similar products (apparel) to the given product (apparel) in any e-commerce websites.
Problem Statement
Recommending similar apparel items to user. Its estimated that amazon's 35% revenue is generated using product recommendations.
Sources
https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews
Getting Started
Start by downloading the project and run "Amazon_Apparel_Recommendation.ipynb" file in ipython-notebook.
Prerequisites
You need to have installed following softwares and libraries before running this project.
- Python 3: https://www.python.org/downloads/
- Anaconda: https://www.anaconda.com/download/
Libraries
-
scikit-learn: scikit-learn is a Python module for machine learning built on top of SciPy.
- pip install scikit-learn
- conda install -c anaconda scikit-learn
-
scipy: SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
- pip install scipy
- conda install -c anaconda scipy
Authors
• Manish Vishwakarma - Complete work