A simple implementation to regression problems using Python 2.7, scikit-learn and XGBoost
☆19Jul 20, 2022Updated 3 years ago
Alternatives and similar repositories for XGBRegressor
Users that are interested in XGBRegressor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A LaTeX package to run source code and command-line executable☆14May 20, 2026Updated last week
- 研究生课程,包含讲义、数据、代码等学习资料☆14Dec 4, 2018Updated 7 years ago
- The following code is a simple XGBoost model developed using numpy. Tha main purpose of this code is to unveil the maths behind XGBoost.☆15Jun 23, 2019Updated 6 years ago
- Repository of demos, resources and tutorials on DataScience and Machine Learning.☆10Mar 5, 2023Updated 3 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆11Nov 22, 2019Updated 6 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.
- Python tutorial for the french motor third party liability 2 dataset☆11Nov 27, 2019Updated 6 years ago
- ☆16Jul 13, 2021Updated 4 years ago
- Probabilistic Entity Matching in Python☆13Apr 5, 2017Updated 9 years ago
- Code related to Decision Tree algorithm☆21Mar 23, 2021Updated 5 years ago
- Chef cookbook for the http://druid.io/☆10Apr 25, 2016Updated 10 years ago
- Create a machine learning model that will suggest prices for certain items☆13Jun 8, 2018Updated 7 years ago
- Bayesian Regression Models using pymc3☆11Feb 4, 2017Updated 9 years ago
- Penalized Quantile Regression☆19Feb 3, 2026Updated 3 months ago
- Convolution-type Smoothed Quantile Regression☆23Mar 6, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Data and regressions on Premier League teams from 2000-01 through to 2016-17☆11Jul 31, 2017Updated 8 years ago
- The Data Journalism Handbook was born at a 48 hour workshop at MozFest 2011 in London. It subsequently spilled over into an international…☆32May 2, 2012Updated 14 years ago
- Repository containing notebooks for my Pandas tutorial at SciPy India 2013☆15Oct 20, 2019Updated 6 years ago
- Minimal Learning Machine implementation using the scikit-learn API.☆10Feb 11, 2023Updated 3 years ago
- Thai in spaCy☆14Apr 1, 2019Updated 7 years ago
- ☆10May 6, 2018Updated 8 years ago
- R package for accessing the StatisticsNZ API☆10Feb 20, 2023Updated 3 years ago
- Python code to seasonally adjust data using the census X12-ARIMA program: http://www.census.gov/srd/www/x12a/☆11Mar 22, 2012Updated 14 years ago
- A PureScript, browser-based implementation of simple linear regression.☆19Dec 6, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset☆11Dec 13, 2018Updated 7 years ago
- Deep Learning for Quantile Regression under Right Censoring☆30Nov 16, 2021Updated 4 years ago
- Create hadoop cluster in aws ec2 for development☆11Sep 8, 2017Updated 8 years ago
- Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB☆14Aug 4, 2019Updated 6 years ago
- ☆11Dec 20, 2024Updated last year
- PHP debug tool for controlling time and randomness while testing. Predictability is all.☆13Jan 16, 2020Updated 6 years ago
- Weka package for parameter optimization, similar to GridSearch, but with arbitrary number of parameters.☆10Feb 17, 2021Updated 5 years ago
- A minimal regression library for Julia☆12Apr 24, 2018Updated 8 years ago
- ☆26Jun 4, 2025Updated 11 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.☆10Aug 9, 2020Updated 5 years ago
- Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season☆10Aug 10, 2017Updated 8 years ago
- Neural Time Series Analysis☆14Nov 21, 2022Updated 3 years ago
- Very simple geocoding for OpenStreetMap data☆40Apr 24, 2009Updated 17 years ago
- Kaggle Competition BNP Pairbas Cardif Claims Management: Rank 133 out of 2,926 (Top 5%)☆14May 10, 2016Updated 10 years ago
- WQU - Projects☆19Jul 19, 2022Updated 3 years ago
- A Swiss Army Knife for Machine Learning Practice, cross validation, model selection, ensemble selection, stacking☆16May 11, 2016Updated 10 years ago