Too Long; Didn't Read
In this article, I will discuss some great tips and tricks to improve the performance of your structured data binary classification model. These tricks are obtained from solutions of some of Kaggle’s top tabular data competitions. Top competitors always read/do a lot of exploratory data analysis for the data, this helps in feature engineering and cleaning of the data. The most popular feature and feature engineering techniques used in these top kaggle competitions can be used to tackle issues like class imbalance and encoding categorical data.