h2oai / data-science-examplesLinks
A collection of data science examples implemented across a variety of languages and libraries.
☆33Updated 9 years ago
Alternatives and similar repositories for data-science-examples
Users that are interested in data-science-examples are comparing it to the libraries listed below
Sorting:
- Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository☆26Updated 9 years ago
- training material☆47Updated 9 months ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.☆61Updated 6 years ago
- Scalable R for Machine Learning☆43Updated 6 years ago
- A companion book for the Coursera Regression Models class☆54Updated 6 years ago
- Deep Learning for Pugs☆74Updated 7 years ago
- Very concise notes on machine learning and statistics.☆383Updated 12 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- ☆24Updated 6 years ago
- Size of datasets used for analytics based on 10 years of surveys by KDnuggets.☆16Updated 9 years ago
- A browser based R Notebook☆125Updated 11 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2☆163Updated 11 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
- spark backend for dplyr☆48Updated 9 years ago
- Docker container for Shiny Server☆14Updated 9 years ago
- Presentations from meetups and conferences☆18Updated 4 years ago
- Viewable pages from WinVector LLC view at: http://winvector.github.io☆23Updated 6 months ago
- R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks☆122Updated 7 years ago
- Materials for my PyData Seattle talk☆21Updated 9 years ago
- Apache Zeppelin on Kubernetes.☆28Updated 6 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 6 years ago
- Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory☆91Updated 9 years ago
- My exhaustive repo of free deep learning resources☆50Updated 8 years ago
- A simple dataset of Stack Overflow questions and tags☆108Updated 8 years ago
- A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (inte…☆89Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- Showcase for using H2O and R for scoring for marketing campaign in retail☆54Updated 6 years ago