lopusz / pydata-berlin-2018
☆15Updated 6 years ago
Alternatives and similar repositories for pydata-berlin-2018:
Users that are interested in pydata-berlin-2018 are comparing it to the libraries listed below
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Know your ML Score based on Sculley's paper☆34Updated 5 years ago
- Helpers for constructing scikit-learn grid search☆37Updated 5 years ago
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- Python implementation of R package breakDown☆42Updated last year
- ☆25Updated 8 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆26Updated 9 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆19Updated 3 years ago
- Presentations & notebooks from our talks /workshops/meetups/etc☆24Updated 6 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 7 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated 11 months ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 7 years ago
- ☆28Updated 7 years ago
- Slides and code for the PyData Berlin 2018 tutorial☆16Updated 2 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Reinforcement Learning Algorithms☆14Updated 6 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- A helper library for data science pipeline☆36Updated 5 years ago
- Dummy variable generation with fit/transform capabilities☆23Updated 6 years ago
- allennlp tutorial for O'Reilly AI Conference, September 2019☆22Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Dask tutorial for PyData DC 2016☆11Updated 8 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago