drivendataorg / competition-winners
The code for the prize winners in DrivenData competitions.
☆393Updated 6 months ago
Alternatives and similar repositories for competition-winners:
Users that are interested in competition-winners are comparing it to the libraries listed below
- Introduction to Machine learning with Python, 4h interactive workshop☆305Updated 4 years ago
- Created the contents of this repo originally for a workshop I gave at UCLA☆112Updated 5 years ago
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆453Updated 4 years ago
- Machine learning fundamentals lesson in interactive notebooks☆175Updated 3 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆653Updated 4 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆236Updated 7 months ago
- An easy to use waterfall chart function for Python☆161Updated 4 years ago
- Data Science Resources☆78Updated last month
- Advanced Machine Learning with Scikit-learn part I☆140Updated 4 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆661Updated 2 years ago
- ☆341Updated 4 years ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Matt Brems' Missing Data Workshop☆82Updated 2 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆270Updated 8 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆160Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆291Updated 6 months ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆320Updated last year
- ☆38Updated 3 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 7 months ago
- Data Science Standards - Framework to Productionize Projects throughout the Data Science and Production Solution Lifecycle☆43Updated 2 years ago
- Python script to pull machine learning flashcards from Chris Albon's twitter feed☆76Updated 5 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 7 months ago
- ☆132Updated 8 months ago
- Machine learning flashcards☆218Updated 3 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆126Updated 3 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆269Updated 8 years ago