mvaz / osqf2015Links
☆25Updated 10 years ago
Alternatives and similar repositories for osqf2015
Users that are interested in osqf2015 are comparing it to the libraries listed below
Sorting:
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 10 years ago
- My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.☆23Updated 10 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ☆24Updated 11 years ago
- Healthcare Twitter Analysis☆26Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 11 years ago
- My Tutorial for PyData London☆25Updated 10 years ago
- A Tour of Time Series Analysis☆23Updated 8 years ago
- Amazon access control challenge☆25Updated 11 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Networks meet Finance in Python - July 27 2014☆23Updated 10 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Code for the Kaggle Marinexplore challenge☆17Updated 12 years ago
- How to use automatic polynomial features and neural network mode in VW☆17Updated 11 years ago
- Currency Portfolio Optimization - IPython notebook and data☆26Updated 9 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆32Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- ☆53Updated 12 years ago
- Dionis predictors blender☆10Updated 9 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Talk on "Bayesian optimisation", beginner level☆25Updated 9 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 8 years ago
- Files for London PyData London, 2015☆15Updated 10 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- 📈 Stock embeddings based on PE context☆75Updated 8 years ago
- Homesite Kaggle☆30Updated 9 years ago