fabianp / mash_2016_sklearn_introLinks
Material for the MASH course on introduction to scikit-learn
☆16Updated 8 years ago
Alternatives and similar repositories for mash_2016_sklearn_intro
Users that are interested in mash_2016_sklearn_intro are comparing it to the libraries listed below
Sorting:
- PyDataLondonTutorial☆26Updated 9 years ago
- Materials for a course on scikit-learn at ENSAE☆31Updated 8 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 8 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 10 years ago
- Material for the statistics in Python tutorial☆43Updated 9 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- ☆32Updated 7 years ago
- Python solver for mixed-effects models☆97Updated 3 weeks ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- My IPython startup files.☆109Updated 10 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Python library implementing recommender systems algorithms with http://tensorflow.org☆12Updated 6 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Materials for talk on scikit-learn☆28Updated 9 years ago
- Advanced git and github course material☆39Updated 7 years ago
- ☆28Updated 8 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- ☆30Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- IPython notebooks and data an interactive scikit-learn tutorial.☆53Updated 10 years ago