kiprotect / data-privacy-for-data-scientists
A workshop on data privacy methods for data scientists.
☆70Updated 2 years ago
Alternatives and similar repositories for data-privacy-for-data-scientists:
Users that are interested in data-privacy-for-data-scientists are comparing it to the libraries listed below
- ☆58Updated 4 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- ☆35Updated this week
- Sample Notebooks for PipelineAI☆44Updated 2 years ago
- My exhaustive repo of free deep learning resources☆50Updated 7 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated last year
- ☆57Updated 7 years ago
- Dummy variable generation with fit/transform capabilities☆23Updated 6 years ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆170Updated 5 years ago
- A repo for talk materials☆25Updated 4 years ago
- Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.☆173Updated last year
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago
- A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker☆134Updated last year
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Relatively simple text classification powered by spaCy