Category: code 2023 How to train your own ChatGPT Alpaca style, part two May 16 2023 How to train your own ChatGPT Alpaca style, part one Apr 19 2023 This is how you code now Mar 22 2023 2018 How to use the Python debugger Feb 28 2018 Preparing continuous features for neural networks with GaussRank Jan 22 2018 2017 Revisiting Numerai Oct 17 2017 Introduction to pointer networks Jul 03 2017 Project RHUBARB: predicting mortality in England using air quality data May 22 2017 Tuning hyperparams fast with Hyperband Feb 27 2017 How to use pd.get_dummies() with the test set Jan 30 2017 2016 Piping in R and in Pandas Oct 10 2016 How to make those 3D data visualizations Jul 25 2016 Adversarial validation, part two Jun 08 2016 ^one weird trick for training char-^r^n^ns May 31 2016 Adversarial validation, part one May 23 2016 2015 Numerai - like Kaggle, but with a clean dataset, top ten in the money, and recurring payouts Dec 21 2015 Predicting sales: Pandas vs SQL Oct 19 2015 Evaluating recommender systems Aug 31 2015 Classifying text with bag-of-words: a tutorial Jun 08 2015 Loading data in Torch (is a mess) Jan 19 2015 2014 How to run external programs from Python and capture their output Nov 24 2014 Vowpal Wabbit, Liblinear/SBM and StreamSVM compared Oct 15 2014 Kaggle vs industry, as seen through lens of the Avito competition Sep 04 2014 Classifier calibration with Platt's scaling and isotonic regression Aug 01 2014 Optimizing hyperparams with hyperopt Jun 25 2014 Extreme Learning Machines Jun 25 2014 Impute missing values with Amelia May 08 2014 Converting categorical data into numbers with Pandas and Scikit-learn Apr 30 2014 Predicting happiness from demographics and poll answers Apr 21 2014 Good representations, distance, metric learning and supervised dimensionality reduction Mar 20 2014 PyBrain - a simple neural networks library in Python Mar 06 2014 How to get predictions from Pylearn2 Jan 20 2014 Classifying images with a pre-trained deep network Jan 10 2014 2013 A/B testing with bayesian bandits in Google Analytics Dec 15 2013 Maxing out the digits Nov 02 2013 Pylearn2 in practice Oct 06 2013 Predicting solar energy from weather forecasts plus a NetCDF4 tutorial Sep 09 2013 A bag of words and a nice little network Aug 23 2013 Introducing phraug Jul 09 2013 Processing large files, line by line Jul 05 2013 Go non-linear with Vowpal Wabbit Jun 19 2013 Amazon aspires to automate access control Jun 01 2013 More on sparse filtering and the Black Box competition May 25 2013 Deep learning made easy May 01 2013 Regression as classification Apr 17 2013 Dimensionality reduction for sparse binary data - an overview Mar 25 2013 Large scale L1 feature selection with Vowpal Wabbit Mar 18 2013 Dimensionality reduction for sparse binary data Feb 27 2013 Predicting advertised salaries Feb 18 2013 The secret of the big guys Feb 07 2013 A very fast denoising autoencoder Jan 17 2013 Feature selection in practice Jan 14 2013 Madelon: Spearmint's revenge Jan 04 2013 2012 Spearmint with a random forest Dec 27 2012 Tuning hyperparams automatically with Spearmint Dec 21 2012 Predicting wine quality Dec 07 2012 Predicting closed questions on Stack Overflow Oct 05 2012 Best Buy mobile contest - full disclosure Sep 25 2012 Best Buy mobile contest Sep 17 2012
Numerai - like Kaggle, but with a clean dataset, top ten in the money, and recurring payouts Dec 21 2015