Alternating Least Squares (ALS) for Santander Kaggle competition The Kaggle Santander competition just concluded. I decided for this competition to continue my learning process of spark environment and invest time […]
Apache Spark for Kaggle competitions I competed in Kaggle Bosch competition to predict the failures during the production lines. As described in another post, I decided to approach this competition […]
Spark and XGBoost using Scala language Recently XGBoost project released a package on github where it is included interface to scala, java and spark (more info at this link). I […]
Using PySpark for RedHat Kaggle competition Redhat Kaggle competition is not so prohibitive from a computational point of view or data management. The use of Pandas and xgboost, R allows […]
First approaches to Apache Spark and PySpark. By participating in the recent competition Kaggle Bosch production line performance, I decided to try using Apache Spark and in particular PySpark. When […]
Our team – Paul Perry, Elena Cuoco* and Zygmunt Zając – did not discover the leak. We didn’t attain a winning score, but on the other hand, the features […]
This is our 3rd place solution to the Grasp-and-Lift EEG Detection Competition on Kaggle. The main aim of the competition was to identify when a hand is grasping, lifting, and replacing an object using EEG data that was taken from healthy subjects as they performed these activities.
I’m very glad to be now a Kaggle master thanks to the big team work in the Grasp-and-Lift EGG detection kaggle competition!
Kaggle Competition | Titanic Machine Learning from Disaster – Part II This is the second post on this argument. I wasn’t able to achieve a better result with respect […]
How I reached the first position in the leaderboard. This was my first competition on Kaggle: http://www.kaggle.com/ “Data Science London is hosting a meetup on Scikit-learn. This competition is […]
