4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
☆28Sep 1, 2014Updated 12 years ago
Alternatives and similar repositories for Kaggle_The_Hunt_for_Prohibited_Content
Users that are interested in Kaggle_The_Hunt_for_Prohibited_Content are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Amazon access control challenge☆25Jun 21, 2014Updated 12 years ago
- Nearest Neighbor Search in High Dimensional Spaces☆13Nov 18, 2015Updated 10 years ago
- Code for the Avito competition☆16Sep 5, 2014Updated 12 years ago
- Predicting sales with Pandas☆15Nov 4, 2015Updated 10 years ago
- ☆11May 15, 2017Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Codes for several practice contests in Kaggle☆85Jul 11, 2015Updated 11 years ago
- practice fusion contest☆11Dec 10, 2012Updated 13 years ago
- Predicted customer response probabilities to a mailing marketing campaign by analyzing historical customers’ information, credit scores a…☆13May 9, 2014Updated 12 years ago
- 3rd place solution for the Avito Context contest on kaggle.com☆29Aug 30, 2015Updated 11 years ago
- TF-IDF with Spark for the Kaggle popcorn competition☆10Jul 1, 2015Updated 11 years ago
- All files save in this repository consist of R, python and sql scripts to solve for marketing problems centered around 4P's i.e. product,…☆11Mar 19, 2015Updated 11 years ago
- ☆12Jun 17, 2019Updated 7 years ago
- Common Code Workflow tutorial on Theano☆16Oct 29, 2015Updated 10 years ago
- My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.☆23Apr 17, 2015Updated 11 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Sketch code along the reading of Mining Massive Datasets☆13Feb 9, 2016Updated 10 years ago
- A reinforcement learning algorithm for the 2048 game☆20Mar 25, 2014Updated 12 years ago
- Group project for the WorldQuant University module, risk management.☆13Feb 3, 2019Updated 7 years ago
- ☆13Sep 22, 2017Updated 9 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Mar 27, 2024Updated 2 years ago
- machine learning and deep learning tutorials, articles and other resources☆11Oct 24, 2016Updated 9 years ago
- 📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)☆10May 4, 2021Updated 5 years ago
- Efficiently maintain a set of nodes ordered by the time they were added to the set☆13Oct 8, 2024Updated last year
- Allstate Purchase Prediction Challenge on Kaggle