In this project, I built a full end-to-end machine learning pipeline on the Kaggle Ames House Prices dataset. Using careful feature engineering and Gradient Boosting, I achieved a leaderboard score of 0.13339 (top ~2k)...
In this post, I note down my learnings from reading Neural Networks and Deep Learning by Michael Nielsen. At the end, I also provide the code I wrote in PyTorch, and the classification accuracy I was able to achieve for MNIST...
I started this project out of curiosity about Linux. Logging into transient cloud boxes wasn’t enough for me to really get my hands dirty, and neither was running virtual machines on my MacBook...
This post is for you if you are an software engineer who finds it hard to write Technical Design Documents (TDDs)...
