davidrpugh / machine-learning-for-tabular-dataLinks
Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost
☆48Updated 8 months ago
Alternatives and similar repositories for machine-learning-for-tabular-data
Users that are interested in machine-learning-for-tabular-data are comparing it to the libraries listed below
Sorting:
- ☆24Updated 2 weeks ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆27Updated 3 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆62Updated last month
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆52Updated 3 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆192Updated last month
- References to the Medium articles☆87Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆51Updated last year
- Modern Time Series Forecasting with Python 2E, Published by Packt☆166Updated last month
- Code for the new Manning book on machine learning on tabular datasets☆53Updated 8 months ago
- Statistical Inference Course☆43Updated 9 months ago
- ☆151Updated 3 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 5 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- ☆33Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆190Updated last year
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆103Updated 5 months ago
- Code for the book Art of Feature Engineering☆33Updated 3 years ago
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- Winner-takes-all for Multivariate Probabilistic Time Series Forecasting☆49Updated last month
- Lecture Notes on Statistical Inference☆77Updated 11 months ago
- Feature engineering package with sklearn like functionality☆56Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Code for blog posts.☆20Updated last year
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- Forecasting lectures and tutorials using Python☆126Updated 7 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 7 months ago