mneedham / neo4j-himym

Related projects: ⓘ

• castanan / w2v
  Word2Vec models with Twitter data using Spark. Blog:
  ☆66Updated 5 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆36Updated 9 years ago
• alexisperrier / datatalks
  Public Machine Learning and Data Competition Repo
  ☆54Updated 8 years ago
• bdewilde / pygotham_2016
  code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"
  ☆15Updated 8 years ago
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆43Updated 8 years ago
• Lab41 / soft-boiled
  Library for Geo-Inferencing in Twitter Data
  ☆28Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆65Updated 6 years ago
• jdwittenauer / twitter-viz-demo
  Twitter visualizaton experiment using various python-based technologies.
  ☆60Updated 8 years ago
• stitchfix / context2vec
  Using Word2Vec on lists and sets
  ☆34Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• yhat / beer-bandit
  Flask app to run a bandit algorithm testing different beer recommenders
  ☆25Updated 10 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated last year
• dreyco676 / nlp_spark
  Natural Language Processing with Spark's MLlib
  ☆62Updated 6 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 8 years ago
• zelandiya / KiwiPyCon-NLP-tutorial
  Code examples and data for the KiwiPyCon 2014 NLP tutorial
  ☆40Updated 10 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 9 years ago
• dchudz / pycon2015-kaggle-tutorial
  ☆27Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆25Updated 8 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 8 years ago
• pthomas1 / MLBlog
  Source code for the tutorial series at http://www.thoughtly.co/blog/prototype
  ☆32Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 7 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆36Updated last year
• ContinuumIO / topik
  A Topic Modeling toolbox
  ☆93Updated 8 years ago
• piskvorky / topic_modeling_tutorial
  Instructions & code for the EuroPython 2014 training session "Topic Modeling for Fun and Profit"
  ☆110Updated 10 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• Lab41 / pythia
  Supervised learning for novelty detection in text
  ☆79Updated 7 years ago
• DistrictDataLabs / spark-workshop
  Data and code for "Fast Data Applications with Spark and Python"
  ☆25Updated 8 years ago