This repository contains my code written for Kaggle, including the Under the Hood series of Kaggle kernels.
I concieved of the Under the Hood series of kernels as part of my machine learning training. The idea is to implement popular machine learning models in Python/Numpy and compare their performance against a benchmark, i.e. a similar model in the machine learning libraries like Scikit-learn or Keras. I agree with Andrej Karpathy who wrote in his blog: "...everything became much clearer when I started writing code."