This repository contains the code for basic kind of E-commerce recommendation engine. By using the concept of TF-IDF and cosine similarity, we have built this recommendation engine.

For this project we are using this dataset. This dataset contains data from the 500 actual SKUs from an outdoor apparel brand's product catalog.

We need the following dependencies.

• Pandas: sudo pip install pandas
• Sci-kit Learn (sklearn): sudo pip install -U scikit-learn
• Jupyter Notebook: $ sudo pip install jupyter

You need to run the jupyter notebook Basic_content_based_recommendation_system.ipynb

The code of is this repository is inspired by the Groveco's content based recommendation engine.