Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true … More
Tag: Data Science
Feature Engineering with Tidyverse
In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for … More
Yet another introduction to Neural Networks
There are many great tutorials on neural networks that one can find online nowadays. Simply searching for the words “Neural Network” … More
Stacking models for improved predictions
If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models … More
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