☆297Jun 14, 2023Updated 2 years ago
Alternatives and similar repositories for effective_xgboost_book
Users that are interested in effective_xgboost_book are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Errata and code for Effective Pandas book☆375Dec 24, 2022Updated 3 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆13Jul 2, 2024Updated last year
- JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.☆40Apr 16, 2026Updated 2 weeks ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆101Nov 2, 2023Updated 2 years ago
- Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…☆23Sep 9, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Datasets for ML, Analysis, etc☆64Mar 15, 2026Updated last month
- Conformal Prediction - A Practical Guide with MAPIE☆18Feb 18, 2024Updated 2 years ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,216Apr 8, 2026Updated 3 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆198Mar 8, 2026Updated last month
- ☆13May 9, 2023Updated 2 years ago
- Code and materials for Effective Polars book☆84Apr 6, 2024Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆202Mar 2, 2026Updated 2 months ago
- ☆107Feb 14, 2023Updated 3 years ago
- ☆114Feb 18, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Baseline models for predicting Length of Stay☆10Feb 7, 2023Updated 3 years ago
- Very little code to make PyTorch Lightning models☆16Jan 17, 2024Updated 2 years ago
- ☆15Oct 3, 2023Updated 2 years ago
- This repository contains everything you need to become proficient in Time Series Analysis and Forecasting☆320Jan 27, 2024Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆225Mar 2, 2026Updated 2 months ago
- This repository contains best courses you MUST take to skyrocket your Data Science and Machine Learning Journey☆69Jan 27, 2024Updated 2 years ago
- Searchbar widget for your R Shiny application☆15Jun 8, 2020Updated 5 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Mar 30, 2026Updated last month
- Supporting material for the book club☆15Jul 24, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The WHO Disease Outbreak News: a retrospective database☆13Aug 31, 2022Updated 3 years ago
- ☆14Aug 6, 2023Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,233Mar 28, 2026Updated last month
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆45Dec 29, 2023Updated 2 years ago
- Examples of conformal prediction. Manual calculation, and using the MAPIE package.☆23Dec 1, 2023Updated 2 years ago
- Analyze and cure awesome lists by collecting, processing and presenting data from listed Git projects.☆19Oct 12, 2025Updated 6 months ago
- ☆20Jan 7, 2024Updated 2 years ago
- 2023 Scipy Pandas tutorial☆22Jul 12, 2023Updated 2 years ago
- Forecasting: Principles and Practice☆61Aug 12, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,171Updated this week
- Trying out Rust☆11Dec 12, 2022Updated 3 years ago
- Train and Deploy an ML REST API to predict crypto prices, in 10 steps☆883May 29, 2024Updated last year
- Easily create and customize bump charts in Python☆73Jan 28, 2026Updated 3 months ago
- Time series easier, faster, more fun. Pytimetk.☆959Mar 30, 2026Updated last month
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,552Mar 14, 2024Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,541Updated this week