Skip to content

Tensorflow Recommenders with Example on Retail Data

Notifications You must be signed in to change notification settings

almirb/TFRS-on-Retail-Data

 
 

Repository files navigation

TFRecommendersExampleRetailData

Tensorflow Recommenders (TFRS) with example on retail dataset, written in Python language.

E-commerce dataset was provided by Olist, a Brazilian E-Commerce platform, available in Kaggle: https://www.kaggle.com/olistbr/brazilian-ecommerce

TFRS full guide is here: https://www.tensorflow.org/recommenders

Tensorflow installation is here: https://www.tensorflow.org/install

Tensorflow 2 only runs on most latest version of Python. I strongly recommend users to install TF and TFRS in a conda environment. Here is an example:

conda create --name tensorflow2 python=3.8 ipykernel

python -m ipykernel install --user --name tensorflow2 --display-name "Python (tensorflow 2.0)"

pip install tensorflow

conda install pandas matplotlib seaborn

About

Tensorflow Recommenders with Example on Retail Data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%