After getting good results with the Random Forest algorithm in the last post, we will take a look at feed forward networks, which are artificial neural networks. Artificial neural networks consist of many artificial neurons, which are based on the…
kaggle
In the previous post i showed how to use the Support Vector Machine in Spark and apply the PCA to the features. In this post i wills show how to use Decisions Trees on the titanic data and why its better…
This ist the third part of the Kaggle´s Machine Learning by Disaster challenge where i show, how you can use Apache Spark for model based prediction (supervised learning). This post is about support vector machines. The Support Vector Machine (SVM) is…
The naive bayes classification is a probabilistic classifier, which is used to classify a feature vector to a class. It does a probably wrong assumption, that features are statistically independent to each other. Anyway Apache Spark has implemented Naive Bayes and i…
How did the fare, age or gender affected the probability to survive on the Titanic? And how can we use this information to predict the probability to survive for each passenger? That´s the competition, which is offered by Kaggle to get into machine learning…