Alternatives and similar repositories for osqf2015:

Users that are interested in osqf2015 are comparing it to the libraries listed below

• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 9 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 9 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
• twiecki / datascientist_tutorial
  ☆53Updated 12 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 11 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 9 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆24Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 8 years ago
• mvaz / PyData2014-Berlin
  Networks meet Finance in Python - July 27 2014
  ☆23Updated 10 years ago
• jperl / stock2vec
  📈 Stock embeddings based on PE context
  ☆74Updated 7 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 9 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 10 years ago
• dchudz / pycon2015-kaggle-tutorial
  ☆27Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• tscholak / PyConEdward
  Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017
  ☆11Updated 7 years ago
• emanuele / kaggle_ops
  My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.
  ☆29Updated 12 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago