lmassaron / Machine-Learning-on-Tabular-DataLinks
Code for the new Manning book on machine learning on tabular datasets
☆50Updated 7 months ago
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
Sorting:
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆90Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- References to the Medium articles☆87Updated 2 years ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆130Updated last week
- Interpretable ML with Python, 2E - published by Packt☆98Updated last week
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated last week
- Programs☆116Updated 10 months ago
- ☆140Updated last week
- ☆287Updated 2 years ago
- ☆151Updated 3 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last week
- Code repository for the book feature selection in machine learning☆33Updated 5 months ago
- Machine Learning for Streaming Data with Python, published by Packt☆72Updated last week
- ☆12Updated 2 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated last week
- This is the code repo for the O'Reilly book "Data Science: The Hard Parts"☆17Updated last year
- An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…☆46Updated 3 weeks ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆60Updated last week
- ☆22Updated 2 weeks ago
- ☆12Updated last year
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated last week
- Feature engineering package with sklearn like functionality☆56Updated last year
- Production-Ready Applied Deep Learning☆90Updated last week