Alternatives and similar repositories for Machine-Learning-for-High-Risk-Applications-Book:

Users that are interested in Machine-Learning-for-High-Risk-Applications-Book are comparing it to the libraries listed below

• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆59Updated 2 years ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆129Updated last year
• solegalli / DataTalks.Club2022
  ☆20Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 3 months ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆159Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆104Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆69Updated last year
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated 6 months ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆128Updated 3 years ago
• mattharrison / effective_xgboost_book
  ☆280Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated last year
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆26Updated 6 months ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated last year
• iusztinpaul / machine-learning-blog
  Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.
  ☆10Updated 2 years ago
• soumik12345 / mlops-zoomcamp-wandb
  ☆31Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆244Updated last year
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆118Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆115Updated 9 months ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆183Updated 2 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆61Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 7 months ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆30Updated 8 months ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆127Updated 11 months ago
• Paulescu / real-time-technical-indicators
  Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…
  ☆41Updated last year
• evidentlyai / ml_observability_course
  Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…
  ☆80Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆94Updated last year