Apress / applied-recommender-systems-python
Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan
☆24Updated 2 years ago
Alternatives and similar repositories for applied-recommender-systems-python:
Users that are interested in applied-recommender-systems-python are comparing it to the libraries listed below
- Building Recommender Systems with Machine Learning and AI, published by Packt☆101Updated 2 years ago
- Machine Learning Engineering on AWS, published by Packt☆66Updated 10 months ago
- Reference code base for ML Engineering, Manning Publications☆126Updated 3 years ago
- ☆20Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆116Updated 7 months ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆45Updated 3 years ago
- An introduction to recommendation systems in Python☆179Updated 4 years ago
- Docker Apache Airflow☆13Updated last year
- Mastering NLP from Foundations to LLMs, Published by Packt☆82Updated 5 months ago
- Tensorflow Recommenders with Example on Retail Data