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

• 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.
  ☆19Updated 2 years ago
• solegalli / feature-selection-in-machine-learning-book
  Code repository for the book feature selection in machine learning
  ☆29Updated 2 months ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆66Updated 2 years ago
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆121Updated last month
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆23Updated last week
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆71Updated 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 2 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆55Updated last month
• 5x12 / course-prodml
  ☆55Updated 10 months ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆130Updated 3 years ago
• dvaughan79 / data-science-hard-parts-code
  This is the code repo for the O'Reilly book "Data Science: The Hard Parts"
  ☆14Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆98Updated last month
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated 11 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆60Updated 2 years ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated 2 years ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆46Updated 2 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆47Updated 9 months ago
• dataman-git / Handbook-of-anomaly-detection
  ☆17Updated 8 months ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 4 months ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated last year
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆51Updated 5 months ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆44Updated 4 months ago
• deshwalmahesh / ML-Models-from-Scratch
  Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…
  ☆49Updated 4 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 5 months ago