datamllab / automl-in-action-notebooksLinks
Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
☆94Updated 2 years ago
Alternatives and similar repositories for automl-in-action-notebooks
Users that are interested in automl-in-action-notebooks are comparing it to the libraries listed below
Sorting:
- Debugging Machine Learning Models with Python, published by Packt☆60Updated 5 months ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆46Updated last year
- Code Repository for The Kaggle Workbook, Published by Packt☆121Updated last month
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆87Updated 2 years ago
- 📝 Examples of how to use Neptune for different use cases and with various MLOps tools☆86Updated 2 months ago
- Machine Learning Engineering with MLflow, published by Packt☆115Updated 11 months ago
- Datasets for the TensorHouse project☆20Updated last year
- Time Series Analysis with Python 3.x [Video], published by Packt☆29Updated 2 years ago
- ☆43Updated 2 years ago
- This is the code repo for the O'Reilly book "Data Science: The Hard Parts"☆15Updated last year
- Machine Learning Using TensorFlow Cookbook, published by Packt☆68Updated 2 years ago
- Scaling Python Machine Learning☆46Updated last year
- Example Notebooks contributed by pycaret community!☆43Updated 2 years ago
- ☆11Updated 2 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 3 years ago
- Source Code for 'Modern Deep Learning for Tabular Data' by Andre Ye and Ziang Wang☆30Updated 2 years ago
- Source Code for 'Deploy Machine Learning Models to Production' by Pramod Singh☆22Updated 4 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆62Updated 4 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Code for the new Manning book on machine learning on tabular datasets☆42Updated 4 months ago
- Distributed Machine Learning with Python, published by Packt☆41Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆40Updated 2 weeks ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- Artificial Intelligence with Python Cookbook, published by Packt☆75Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- ☆17Updated 8 months ago