glemaitre / scikit-learn-workshop-2019Links
☆13Updated 4 years ago
Alternatives and similar repositories for scikit-learn-workshop-2019
Users that are interested in scikit-learn-workshop-2019 are comparing it to the libraries listed below
Sorting:
- ☆26Updated 7 years ago
- ☆33Updated 2 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- ☆16Updated 5 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Example Python DS project☆71Updated 6 years ago
- These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018☆29Updated 7 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- Python implementation of R package breakDown☆43Updated last year
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 11 months ago
- A guide to useful pandas features for intermediate-level data mungers☆35Updated 9 years ago
- In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…☆29Updated 2 years ago
- ☆23Updated last year
- 57th place solution in "Bosch Production Line Performance"☆19Updated 8 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- ☆40Updated 7 years ago
- ☆26Updated 5 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models☆23Updated 7 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago
- 1st place in 2016 Data Mining Cup☆27Updated 8 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 6 years ago
- Lab 5, the first on Machine Learning!☆26Updated 9 years ago
- ☆31Updated 6 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆36Updated 2 years ago