Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)
My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).
gradient boosting
Stochastic Gradient Boosting: Choosing the Best Number of Iterations
Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.
Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)
Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.