Alternatives and similar repositories for machine-learning-blog

Users that are interested in machine-learning-blog are comparing it to the libraries listed below

• 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
  ☆102Updated 2 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆131Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆61Updated 2 years 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…
  ☆44Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆109Updated 2 years ago
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated last year
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆60Updated 2 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 2 years ago
• 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 2 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆66Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆71Updated last year
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆23Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated 11 months ago
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• feature-engine / feature-engine-examples
  ☆35Updated 6 months ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆146Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆63Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆168Updated 10 months ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• mattharrison / effective_xgboost_book
  ☆286Updated 2 years ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated 2 years ago
• mlops-club / serverless-fastapi
  Example FastAPI app deployed to AWS with CDK.
  ☆16Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• MatejFrnka / ScalableML-project
  ☆110Updated 2 years ago
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆49Updated 10 months ago