Tackling Toxic Using Keras

This is a repost from my kernel at Kaggle, which has received several positive responses from the community that it’s helpful to them. This is one of my kernels that tackles the interesting Toxic Comment Classification Challenge at Kaggle, which aims to identify and classify toxic online comments. This notebook attempts to tackle this classification

Do you know what are the most talked about topics in Singapore?

There are tons of news publications in Singapore, from the traditional The Straits Times, Today, and also the digital ones like ChannelNewsAsia.com and many more to grab your latest news fix but let’s face it. *Cough Cough*. It’s beginning to look like what they want to write, not what want to read and know. Unless

How to install Kaggle’s Most Won Algorithm – XGBoost (Screenshots included)

If you are on this page, chances are you have heard of the incredible capability of XGBoost. Not only it “boasts” higher accuracy compared to similar boasted tree algorithms like GBM (Gradient Descent Machine), thanks to a more regularized model formalization to control over-fitting, it enables many Kaggle Masters to win Kaggle competitions as well.