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
☆72Updated 3 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☆64Updated 4 years ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated 2 months ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- Pytest for Data Science Beginners☆59Updated 7 years ago
- Data Science Quick Tips Repository!☆48Updated last year
- Machine Learning Using TensorFlow Cookbook, published by Packt☆69Updated 2 months ago
- This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices☆84Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated 2 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- ☆155Updated 5 years ago
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆214Updated 2 months ago
- Timeseries for everyone☆262Updated 2 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- ☆62Updated 5 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated 2 years ago
- ☆81Updated 2 years ago
- Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt☆56Updated 2 months ago
- Code from the book Fighting Churn With Data☆301Updated 3 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Tutorial given at PyData LA 2018☆97Updated last year
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- 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
- Cleaning Data for Effective Data Science, published by Packt☆100Updated 2 months ago
- Mastering Machine Learning on AWS, published by Packt☆47Updated 2 years ago
- Engineering MLOps, published by Packt☆189Updated this week