My machine learning workflow on Spark: Classification on customer behavior
Based on a real-world example, I am trying to demonstrate a complete machine learning workflow with minimal amount of code possible. Learn More
Tips to make machine learning algorithm better: Imbalanced sample, stacking and more
Now we got a functioning workflow. But there is something else we can try to make more acurate prediction! Learn More
GLM Application in Spark:
a case study
In the insurance industry, an important topic is to model the loss ratio. We will use the ml library in Spark to implement a popular frequency severity model. Learn More
Sklearn: Some less konwn techniques of this awesome package
Spark is awesome, and i never said opposite. However, for smaller projects, sklearn is also a good choice, and has a lot flexibility! Learn More
How to make your code faster: some thoughts in high performace computing.
Faster and more elegant code has always been what we are after. But from all the tools that enhances the performance, is there a clear winner? Coming soon
