harvitronix / kaggle-march-madness-machine-learning
Code to use machine learning to predict NCAA March Madness brackets for the annual Kaggle competition.
☆50Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for kaggle-march-madness-machine-learning
- Flask app to run a bandit algorithm testing different beer recommenders☆25Updated 10 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 8 years ago
- Example scripts for various deep learning APIs.☆28Updated 9 years ago
- A place for my data sciencey related projects☆19Updated 5 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- A bot tweeting nonsensical craft beer reviews via Markov chains☆49Updated 8 years ago
- Python client for ScienceOps☆29Updated 5 years ago
- Materials for my PyData Seattle talk☆21Updated 9 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.☆23Updated 9 years ago
- Predicting happiness from demographics and poll answers☆45Updated 7 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- Predicting closed questions on Stack Overflow☆46Updated 6 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 7 years ago
- Deep Learning for Pugs☆74Updated 7 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- Second place solution for Facebook V competition on Kaggle☆77Updated 8 years ago
- Healthcare Twitter Analysis☆26Updated 8 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 9 years ago
- word2vec workshop - a conceptual introduction and practical application☆22Updated 8 years ago
- Using Word2Vec on lists and sets☆34Updated 9 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Code for Learning with Data Blog☆64Updated 7 years ago
- ☆11Updated 7 years ago
- R Code + R Notebook for analyzing millions of Amazon reviews using Apache Spark☆83Updated 7 years ago
- ☆78Updated 4 years ago
- ☆24Updated 8 years ago
- Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.☆63Updated 7 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 8 years ago
- Additional files for the Otto Group Challenge hosted by Kaggle☆36Updated 9 years ago