Hacker

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)

A hands-on, beginner-friendly guide to deploying, monitoring, and optimizing a Machine Learning model in production — from API creation to data drift detection, using the real Home Credit Default Risk ...
GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
GitHub

A Python package to cache function results on disk with dependency changes tracking.

This package provides a Python decorator to save on disk and reuse the results of functions that are long to execute. This can be referred to as persistent memoization. The result of a decorated ...
InfoWorld

The best Python libraries for parallel processing

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...
Hacker

Deep Dive into Data Apps with Streamlit

The ability to quickly develop and deploy interactive applications is invaluable. Streamlit is a powerful tool that enables data scientists and developers to create intuitive web apps with minimal ...