RocketDataScientist / DataHack-2017Links
DataHack 2017 Challenge
☆0Updated 5 years ago
Alternatives and similar repositories for DataHack-2017
Users that are interested in DataHack-2017 are comparing it to the libraries listed below
Sorting:
- DataHack Challenges - Challenges offered during our hackathon by top data companies.☆12Updated 5 years ago
- Slides and talks from presentations, workshops, etc'☆19Updated last year
- Data visualization workshop☆11Updated 5 years ago
- Materials for Convolutional Methods for Text workshop at PyCon2017☆11Updated 8 years ago
- Presentations & notebooks from our talks /workshops/meetups/etc☆24Updated 7 years ago
- Course material for the Madrid ASDM class on text mining (C09)☆12Updated 6 years ago
- Random Forest model using Hellinger Distance as split criterion☆33Updated 2 years ago
- ☆12Updated 8 years ago
- <In Development> Transformers for Keras that support sklearn's .fit .predict .☆30Updated 5 years ago
- NLP Classification Workshop☆24Updated 6 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago
- http://icd10data.com/ data scraping☆21Updated 7 years ago
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆33Updated 7 years ago
- Techniques to cluster very noisy data (dropouts or random noise)☆66Updated 6 years ago
- Time series annotation library.☆59Updated 6 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- Computing term cooccurrence in MEDLINE☆18Updated 4 years ago
- Hyper-parameter optimization for Keras☆46Updated 4 years ago
- Selecting features as (network) nodes☆11Updated 7 years ago
- File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.☆27Updated 7 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 2 months ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Public repository for versioning machine learning data☆42Updated 3 years ago
- MICE Imputation implementation using scikit learn.☆29Updated 9 years ago
- ☆44Updated last year
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Koolmogorov is a Python library based on CompLearn☆70Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Small template for setting up Travis CI with Python☆30Updated 8 years ago