🚀 My personal Hall of Fame of tools and technologies 🛠️ (Python ecosystem edition) These tools and technologies have served me well over the years, so I thought I’d share them: 🔵 Click, Loguru: Creating command line interfaces🔵 dotenv, pyyaml:…
Relying solely on the outputs of machine learning (ML) models without a thorough verification can lead to unexpected results. Continuing from my previous DevLog, I embarked on a project to analyze car prices across various brands using data from AutoScout24.…
As a tech enthusiast and an follower of the “eat your own dog food” philosophy, I’ve embarked on a project that intertwines my passion for cars with my profession in Machine Learning. In this initial development log, I’d like to…
Explore the top Python libraries for Machine Learning in 2024. Discover how TensorFlow, PyTorch, Scikit-learn, and emerging tools like PyCaret are revolutionizing fast model development. Stay ahead in ML with these powerful, user-friendly Python libraries.
Deep learning has revolutionized the field of artificial intelligence, providing the backbone for some of the most exciting advancements in the tech world. With the ever-growing need for efficient and powerful machine learning models, the choice of the right deep…
Time series analysis involves examining data points collected over time, with the goal of identifying patterns and trends that can inform future predictions. Here’s a list of all relevant libraries for Time Series Forecasting. Good to have these gems in…
The Ruff project was released about a year ago and stormed the Python world. Ruff is written in Rust, but lints Python superfast. This week, the Ruff formatter was released! You can still use Ruff to lint your Python code,…
Time series analysis involves examining data points collected over time, with the goal of identifying patterns and trends that can inform future predictions. Here’s a list of all relevant libraries for Time Series Forecasting. Good to have these gems in…