Alternatives and similar repositories for Developing-Kaggle-Notebooks:

Users that are interested in Developing-Kaggle-Notebooks are comparing it to the libraries listed below

• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆118Updated last year
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆161Updated last week
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆217Updated 2 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Second-Edition
  Python Feature Engineering Cookbook Second Edition, published by Packt
  ☆79Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 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.
  ☆135Updated last year
• javieryanzon / bike_sharing_demand_predictor
  Project bike sharing predictor
  ☆79Updated last month
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆273Updated 3 months ago
• 5x12 / course-prodml
  ☆53Updated 8 months ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated 7 months ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆26Updated 6 months ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆183Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆95Updated last year
• sinanuozdemir / feature_engineering_bookcamp
  ☆59Updated last year
• soumik12345 / mlops-zoomcamp-wandb
  ☆31Updated last year
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆181Updated 5 months ago
• Paulescu / ml-rest-api-caching
  How to serve ML predictions 100x faster
  ☆53Updated 8 months ago
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆97Updated this week
• prsdm / mlops-project
  ☆123Updated 5 months ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆38Updated this week
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆185Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆207Updated 2 years ago
• SebastianoMeneghin / sml-project-2023-manfredi-meneghin
  Scalable Machine Learning and Deep Learning, Final Project, 2023/2024
  ☆230Updated 5 months ago
• karan842 / mlops-best-practices
  Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
  ☆67Updated last year
• Coder-World04 / Complete-Scikit-learn-with-projects-
  This repository contains everything you need to become proficient in Scikit learn
  ☆117Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆53Updated 8 months ago
• D-dot-AT / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆267Updated 5 months ago
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆49Updated 6 months ago
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆64Updated 2 months ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆128Updated 3 years ago