Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
☆138Jun 10, 2017Updated 9 years ago
Alternatives and similar repositories for teach-data-science-UCLA-master-appl-stats
Users that are interested in teach-data-science-UCLA-master-appl-stats are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Materials for GWU DNSC 6279 and DNSC 6290.☆240May 27, 2025Updated last year
- repository for 2018 Fall Stats 131 class at UCLA☆14Mar 1, 2019Updated 7 years ago
- Compare the scoring speed of several open source machine learning libraries.☆19Jun 19, 2017Updated 9 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆22Feb 2, 2019Updated 7 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆20Sep 11, 2017Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…☆33Sep 8, 2017Updated 9 years ago
- Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning☆10Apr 13, 2017Updated 9 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20May 13, 2018Updated 8 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆38Mar 28, 2021Updated 5 years ago
- Most recent/important talks given at conferences/meetups☆14Nov 27, 2020Updated 5 years ago
- Some thoughts on how to use machine learning in production☆70May 17, 2017Updated 9 years ago
- TF-IDF with Spark for the Kaggle popcorn competition☆10Jul 1, 2015Updated 11 years ago
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Oct 5, 2016Updated 10 years ago
- The ML Studio Package☆70Feb 17, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆27Nov 21, 2016Updated 9 years ago
- Introductory Workshop to (Bayesian) Statistics☆38May 2, 2017Updated 9 years ago
- Data and statistical models for biomarker shedding.☆17Updated this week
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Nov 7, 2016Updated 9 years ago
- ☆40Nov 2, 2017Updated 8 years ago
- ☆10Feb 13, 2024Updated 2 years ago
- Code material for a data science tutorial☆203Jul 3, 2017Updated 9 years ago
- Some of my experiments targeting adversarial instances☆12May 7, 2017Updated 9 years ago
- My best practices for hosting a panel☆30Jan 19, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Performance of various open source GBM implementations☆225Feb 17, 2026Updated 8 months ago
- FAQs for Learning D3☆28Sep 9, 2015Updated 11 years ago
- Shiny demo of A/B test planning and evaluation (improved UI for A/B testing method taught in free video course)☆17Jun 22, 2020Updated 6 years ago
- Helper functions for using mgcv☆12Oct 10, 2019Updated 7 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆315Oct 7, 2021Updated 5 years ago
- GBM intro talk (with R and Python code)☆17May 6, 2021Updated 5 years ago
- An R interface to the US Census Bureau International Data Base API☆58Jul 28, 2024Updated 2 years ago
- One hour interactive training for ML with scikit-learn☆72May 2, 2017Updated 9 years ago
- In which I implement some applications of machine learning techniques.☆32May 10, 2016Updated 10 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Proposal document about ergo☆23Mar 31, 2018Updated 8 years ago
- [shiny app]: an interface to rio☆16Apr 7, 2018Updated 8 years ago
- The 2018 Version of the dl-course☆15Apr 16, 2019Updated 7 years ago
- ☆28Jan 2, 2023Updated 3 years ago
- This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"☆22Mar 8, 2016Updated 10 years ago
- Bayesian statistics seminars☆27Apr 15, 2017Updated 9 years ago
- Add-on package for using the Gridster library with Shiny☆25May 12, 2016Updated 10 years ago