Here are some serokell articles you may find interesting
How to Preprocess Data in Python
Before training a model, you have to preprocess data. This is necessary to transform raw data into clean data suitable for analysis. In this guide, we will cover essential steps to preprocess data using Python. These include splitting the dataset into training and validation sets, handling missing values, managing categorical features, and normalizing the dataset.
Pattern Recognition and Machine Learning in Simple Words
What is pattern recognition, when and where is it used in machine learning? And how to train a pattern recognition system? Find out the answers in this post.
Website Deployment for Runtime Verification
In this blog post, we will provide insights into the website deployment workflow developed during our collaboration with Runtime Verification. It focused on creating nix-based deployment workflow for small websites associated with the company's projects. They included Kontrol, developer tooling for formal verification of smart contracts written in solodity; ERCx, developer tooling for ERC token testing; and Firefly, developer tooling for Ethereum smart contract testing.