In a previous post, I have provided a discussion of model stacking, a popular approach in data science competitions for boosting predictive performance. Since then, the… Read More »Pancake: A Python package for model stacking
In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for a variety of reasons, and it requires… Read More »Feature Engineering with Tidyverse
Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires manual engineering of… Read More »Time series classification with Tensorflow
There are many great tutorials on neural networks that one can find online nowadays. Simply searching for the words “Neural Network” will produce numerous results on… Read More »Yet another introduction to Neural Networks
Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and… Read More »Deciphering the Neural Language Model
This blog was originally published on my website. If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different… Read More »Stacking models for improved predictions: A case study for housing prices
