tevgeniou / FoundationsMLLinks
☆12Updated 5 years ago
Alternatives and similar repositories for FoundationsML
Users that are interested in FoundationsML are comparing it to the libraries listed below
Sorting:
- Code and slides from a 2016 talk at the Cambridge UK RUG☆16Updated 8 years ago
- Documentation for the DALEX project☆36Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆22Updated 6 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 5 years ago
- R package for tracking Covid19 cases in San Francisco☆12Updated 2 years ago
- Forecasting: Principles and Practice (2nd ed)☆53Updated 8 years ago
- ☆15Updated 5 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated last month
- Data Scientist code test☆19Updated 5 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Deep Learning with Metaheuristic☆28Updated 5 years ago
- Miscellaneous coding examples for reference☆14Updated 3 months ago
- Tutorial Apps for Learning R☆18Updated 7 years ago
- Teaching materials for ETC3580☆25Updated 7 years ago
- SmartML: Supervised Machine Learning Automation in R☆26Updated 5 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- An R package implementing the NetEMD and NetDis network comparison measures☆14Updated 3 years ago
- Most recent/important talks given at conferences/meetups☆14Updated 5 years ago
- ☆39Updated 7 months ago
- Time Series Ensemble Forecasting☆80Updated this week
- GBM intro talk (with R and Python code)☆17Updated 4 years ago
- The Tidymodels Extension for Time Series Boosting Models☆58Updated 3 years ago
- ☆13Updated 3 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆77Updated last year
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 8 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- ☆29Updated 4 years ago
- R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)☆113Updated last week