aromain / data-science-olympics-2019Links
Winning solution for the Data Science Olympics 2019 challenge
☆15Updated 6 years ago
Alternatives and similar repositories for data-science-olympics-2019
Users that are interested in data-science-olympics-2019 are comparing it to the libraries listed below
Sorting:
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 5 years ago
- Data Analysis Baseline Library☆728Updated 9 months ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆335Updated 4 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆280Updated 2 years ago
- Python library for building highly effective data science workflows☆949Updated 2 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆501Updated 2 years ago
- OLD REPO - PLEASE USE fastai/fastai☆181Updated 3 years ago
- A graph-based functional API for building complex scikit-learn pipelines.☆589Updated 2 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!☆711Updated 5 years ago
- ☆383Updated 8 years ago
- Push and pull data files like code☆175Updated 2 years ago
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- Data Science Project Template☆140Updated 7 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- Python package for stacking (machine learning technique)☆696Updated 2 weeks ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆729Updated 3 years ago
- Deploy AutoML as a service using Flask☆226Updated 8 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- Studio: Simplify and expedite model building process☆380Updated last year
- ☆85Updated 7 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated 2 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆245Updated 7 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆22Updated 10 years ago
- WTTE-RNN a framework for churn and time to event prediction☆779Updated 5 years ago