szilard / xgboost-adv-workshop-LALinks
Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
☆26Updated 8 years ago
Alternatives and similar repositories for xgboost-adv-workshop-LA
Users that are interested in xgboost-adv-workshop-LA are comparing it to the libraries listed below
Sorting:
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- Scalable R for Machine Learning☆43Updated 6 years ago
- The repository contains Top-5 Winning solutions of "The Ultimate Student Hunt". Competition Link : https://datahack.analyticsvidhya.com/c…☆14Updated 8 years ago
- Deep learning examples☆13Updated 8 years ago
- Module 7: Introduction to D3.js☆21Updated 9 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- ☆13Updated 8 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- An R package providing access to the OpenAI Gym API☆21Updated 8 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Interactive visualization of non-linear logistic regression decision boundaries☆28Updated 11 years ago
- Python and R: Writing Cross Language Tools (SciPy 2016 Talk)☆20Updated 9 years ago
- Code and data for "The Geometry of Classifiers"☆26Updated 5 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- Image Classification using MXNetR☆55Updated 8 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- A system for blending regression models in R☆75Updated 12 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 8 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 10 years ago
- ☆66Updated 2 years ago
- my public kaggle code☆79Updated 11 years ago
- ☆26Updated 9 years ago