kylegallatin / ml-python-cookbook-runner
Dockerized Jupyter notebook to run commands from the ML Python Cookbook
☆38Updated last year
Alternatives and similar repositories for ml-python-cookbook-runner:
Users that are interested in ml-python-cookbook-runner are comparing it to the libraries listed below
- ☆73Updated last year
- Modern Graph Theory Algorithms with Python, published by Packt☆24Updated 7 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆48Updated 4 months ago
- Mastering NLP from Foundations to LLMs, Published by Packt☆80Updated 4 months ago
- Web App Development Made Simple with Streamlit, published by Packt☆27Updated 11 months ago
- Streamlit Cookbook, published by Packt☆13Updated last month
- ☆11Updated last year
- Interpretable ML with Python, 2E - published by Packt☆89Updated 10 months ago
- The Deep Learning Architect’s Handbook, published by Packt☆31Updated 10 months ago
- ☆40Updated last year
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆30Updated this week
- Generative AI Integration Patterns,1E_Published by Packt☆14Updated 4 months ago
- Repository with code examples of mlflow☆66Updated this week
- Machine Learning Model Serving Patterns and Best Practices☆34Updated last year
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆207Updated last year
- Data Augmentation with Python, published by Packt☆34Updated 2 months ago
- Code Repository for The Kaggle Workbook, Published by Packt☆118Updated last year
- Pretrain Vision and Large Language Models in Python, Published by Packt☆85Updated last year
- Test LLMs automatically with Giskard and CI/CD☆29Updated 5 months ago
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆86Updated 4 months ago
- Reference code base for ML Engineering, Manning Publications☆124Updated 3 years ago
- Getting started with Streamlit for Data Science, published by Packt☆79Updated 2 years ago
- Natural Language Processing with Large Language Models☆101Updated 7 months ago
- This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning projec…☆13Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆15Updated last year
- A Practical Approach to Timeseries Forecasting using Python, published by Packt☆11Updated 4 months ago
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…☆83Updated last year
- Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.☆24Updated 2 years ago
- ☆47Updated 2 years ago
- Machine Learning Engineering on AWS, published by Packt☆66Updated 9 months ago