LinkedInLearning / recommendation-systems-a-practical-introduction-2703578Links
This is a repository for the LinkedIn Learning course Recommendation Systems: A Practical Introduction
☆29Updated 4 months ago
Alternatives and similar repositories for recommendation-systems-a-practical-introduction-2703578
Users that are interested in recommendation-systems-a-practical-introduction-2703578 are comparing it to the libraries listed below
Sorting:
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆50Updated 2 years ago
- Machine Learning Engineering on AWS, published by Packt☆70Updated 2 weeks ago
- PacktPublishing / The-Machine-Learning-Solutions-Architect-and-Risk-Management-Handbook-Second-Edition☆51Updated 2 weeks ago
- MLOps maturity assessment☆61Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated 2 weeks ago
- Databricks ML in Action, Published by Packt☆30Updated 2 weeks ago
- ☆242Updated 2 weeks ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Mastering Azure Machine Learning - Second Edition, published by Packt☆36Updated 2 weeks ago
- Snowflake Data Engineering in Action☆33Updated 11 months ago
- Data Engineering with Google Cloud Platform - Second Edition, published by Packt☆41Updated last year
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Noah Gift Github Profile☆83Updated last week
- A free mini-course about Open-Source LLMs☆146Updated 4 months ago
- Azure Data Engineering Cookbook 2nd-edition, published by Packt☆32Updated 2 years ago
- This is a repo for building out Github Actions and Tricks☆49Updated 8 months ago
- Deploy Flask Machine Learning Application on Azure App Services☆112Updated 8 months ago
- Building ETL Pipelines with Python☆160Updated last year
- This repo contains all the material developed during the 9-week bootcamp provided by DPhi in colaboration with DataTalks Club☆22Updated 3 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆130Updated 2 weeks ago
- ☆89Updated 5 months ago
- Practical Machine Learning on Databricks, published by packt☆20Updated 2 weeks ago
- ☆27Updated 3 years ago
- Data Engineering with AWS, 2nd edition - Published by Packt☆153Updated last year
- Duke MIDS: Data Engineering and DataOps Course☆67Updated 8 months ago
- Code for the book Analytical Skills for AI and Data Science☆47Updated 5 years ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Cleaning Data for Effective Data Science, published by Packt☆100Updated 2 weeks ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated 2 weeks ago
- Data Engineering with Databricks Cookbook, published by Packt☆102Updated last year