Build a recommendation engine which suggests similar products (apparel) to the given product (apparel) in any e-commerce websites.

Recommending similar apparel items to user. Its estimated that amazon's 35% revenue is generated using product recommendations.

https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews

Start by downloading the project and run "Amazon_Apparel_Recommendation.ipynb" file in ipython-notebook.

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/

• 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

• Manish Vishwakarma - Complete work