ryanmark1867 / deep_learning_for_structured_dataLinks
Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data
☆73Updated 4 years ago
Alternatives and similar repositories for deep_learning_for_structured_data
Users that are interested in deep_learning_for_structured_data are comparing it to the libraries listed below
Sorting:
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆65Updated 5 years ago
- Machine Learning Engineering with MLflow, published by Packt☆122Updated this week
- Reference code base for ML Engineering, Manning Publications☆137Updated 4 years ago
- Pytest for Data Science Beginners☆60Updated 7 years ago
- Applied Machine Learning with Python☆80Updated last year
- Machine Learning Using TensorFlow Cookbook, published by Packt☆69Updated this week
- Machine Learning Engineering with Python☆187Updated this week
- This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices☆84Updated 2 years ago
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆107Updated 3 years ago
- Cleaning Data for Effective Data Science, published by Packt☆102Updated last month
- Machine Learning Algorithms Second Edition, published by Packt☆68Updated last year
- Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt☆58Updated last month
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Data Science Quick Tips Repository!☆48Updated 2 years ago
- ☆155Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆135Updated last year
- ☆81Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Learning statistics with Python☆53Updated 5 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Learn Python by Building Data Science Applications, published by Packt☆98Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆65Updated 2 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆48Updated 4 years ago
- Code for the book Art of Feature Engineering☆33Updated 4 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆241Updated 5 years ago
- Engineering MLOps, published by Packt☆190Updated last month