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
☆50Updated 11 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:
- ☆25Updated last week
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆39Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆198Updated 2 years ago
- Code repository for the book feature selection in machine learning☆38Updated 9 months ago
- Official repository for the book Time Series Forecasting with Foundation Models☆49Updated last month
- This project introduces Causal AI and how it can drive business value.☆54Updated last year
- Code for the new Manning book on machine learning on tabular datasets☆64Updated last month
- References to the Medium articles☆86Updated 3 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 6 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆71Updated 2 weeks ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆195Updated 2 months ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆63Updated 5 months ago
- Feature engineering package with sklearn like functionality☆56Updated last year
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆53Updated 3 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 3 years ago
- A framework for calibration measurement of binary probabilistic models☆29Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- ☆20Updated 3 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated last month
- Code for the book Art of Feature Engineering☆33Updated 3 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- Time Series Analysis and Forecasting in Python☆209Updated last year
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆45Updated 2 weeks ago
- This curated list contains python packages for time series analysis☆14Updated 2 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- Tutorial on time-series forcasting with scikit-learn☆34Updated 2 years ago
- Statistical Inference Course☆43Updated last year