hanhanwu / Hanhan_Data_Science_Resources2
more data science resources
☆14Updated 2 years ago
Alternatives and similar repositories for Hanhan_Data_Science_Resources2:
Users that are interested in Hanhan_Data_Science_Resources2 are comparing it to the libraries listed below
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 6 months ago
- Kaggle competition results☆20Updated 6 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- Awesome Distributed Machine Learning Frameworks☆31Updated 7 years ago
- ☆9Updated 8 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge☆21Updated 7 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Analysis pipeline for quick ML analyses.☆11Updated 6 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago
- Datasets and notebooks☆13Updated 8 years ago
- Click through rate prediction☆20Updated 8 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- ☆16Updated 7 years ago
- O'Reilly AI training - London 2018☆22Updated 6 years ago
- Quick-Data-Science-Experiments☆19Updated 7 years ago
- KDD Hands-On Tutorial (2018)☆29Updated 2 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 7 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆48Updated 8 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- Supporting documents for an introduction to Keras workshop at Franceisai event☆13Updated 8 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 7 years ago
- Curated set of transformers that make your work with steppy faster and more effective☆22Updated 6 years ago