bigdatabr / interactive-intro-rlLinks
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
☆15Updated 7 years ago
Alternatives and similar repositories for interactive-intro-rl
Users that are interested in interactive-intro-rl are comparing it to the libraries listed below
Sorting:
- Python implementation of R package breakDown☆43Updated last year
- ☆37Updated last month
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- ☆26Updated 7 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆31Updated 2 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Notebook implementing techniques discussed in my blog post about imbalanced data.☆14Updated 7 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆28Updated 4 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 4 months ago
- Hands-on workshop☆38Updated 6 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 10 months ago
- this repo might get accepted☆28Updated 4 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Repo for the ML_Insights python package☆152Updated 2 months ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 8 months ago
- ☆30Updated 7 years ago
- Data Scientist code test☆19Updated 4 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago