Alternatives and similar repositories for Machine-Learning-on-Tabular-Data:

Users that are interested in Machine-Learning-on-Tabular-Data 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 last year
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆114Updated 2 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 6 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆59Updated 3 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
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆20Updated this week
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆91Updated 11 months ago
• PacktPublishing / Modern-Graph-Theory-Algorithms-with-Python
  Modern Graph Theory Algorithms with Python, published by Packt
  ☆25Updated 9 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 2 months ago
• dataman-git / Handbook-of-anomaly-detection
  ☆15Updated 5 months ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆23Updated last year
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆88Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆103Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆51Updated 3 years ago
• kylegallatin / ml-python-cookbook-runner
  Dockerized Jupyter notebook to run commands from the ML Python Cookbook
  ☆40Updated last year
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆36Updated this week
• rasbt / stat451-machine-learning-fs21
  ☆146Updated 3 years ago
• PacktPublishing / Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker
  Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt
  ☆17Updated last year
• PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
  XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
  ☆25Updated 2 months ago
• PacktPublishing / Developing-Kaggle-Notebooks
  ☆121Updated last month
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆83Updated last year
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated last year
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆126Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆52Updated 6 months ago
• feature-engine / feature-engine-examples
  ☆33Updated last month
• dvaughan79 / data-science-hard-parts-code
  This is the code repo for the O'Reilly book "Data Science: The Hard Parts"
  ☆13Updated 9 months ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆63Updated last year
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated 3 years ago