bigdatabr-archived / interactive-intro-rlLinks
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
☆15Updated 8 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:
- Notebook implementing techniques discussed in my blog post about imbalanced data.☆14Updated 7 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- ☆29Updated 6 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Collected opinions and advice for academic programs focused on data science skills.☆440Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- ☆155Updated 5 years ago
- Resources for Data Science Process management☆205Updated 6 years ago
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- ☆31Updated 7 years ago
- This repository contains all the files for the various workshops created as part of Dublin R☆55Updated 5 months ago
- ☆39Updated 6 months ago
- Implementation of statistical models to analyze time lagged conversions☆263Updated last year
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 7 years ago
- Data Science Resources☆80Updated 7 months ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Helper class to simplify common read-only BigQuery tasks.☆110Updated last month
- Slides for the W209 Information Visualization course of the Masters in Data Science at UC Berkeley☆63Updated 10 months ago
- Source code for the module "Advanced Statistics" 📊☆10Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 7 years ago
- An analysis of cycling counts in Auckland in relation to the weather☆88Updated 2 years ago
- Repo for the ML_Insights python package☆153Updated 7 months ago
- Practical ideas on securing machine learning models☆36Updated 4 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
- Python implementation of R package breakDown☆43Updated 2 years ago
- ☆90Updated 4 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Repo for my talk at the PyData Berlin 2017 conference☆66Updated 8 years ago