August 21, 2024

Getting to the bottom of what structuring your data responsibly really means Dylan Anderson · Follow Published in Towards Data Science · 10 min read · 6 hours ago — Imagine constructing a skyscraper without a blueprint, figuring out how to lay concrete, align support beams and wire electrical in an ad-hoc way as the building takes shape. Well, this is exactly what’s happening in data organisations today… Data modelling, the foundational blueprint of the

The pandas Styler is cool. But AgGrid is way cooler. Make your Streamlit dataframes interactive and stunning. Jose Parreño · Follow Published in Towards Data Science · 11 min read · 10 hours ago — In my previous post, we covered how to create pretty styled dataframes using the pandas Styler object. In this post, I want to tell you about a second option: Streamlit AgGrid. I will share how to build dataframes like the

A comparison between the SARIMA model and the Facebook Prophet model Khin Yadanar Lin · Follow Published in Towards Data Science · 12 min read · 10 hours ago — Photo by Maksym Ostrozhynskyy on Unsplash Table of Contents Introduction ARIMA in a Nutshell Key Assumptions and Limitations of the ARIMA Model Forecasting Process in Python: Seasonal ARIMA vs. Facebook Prophet Performance Comparison Between Two Models Conclusion Introduction Time Series Forecasting has long been a

Learn how to fine-tune the Audio Spectrogram Transformer model for audio classification of your own data Marius Steger · Follow Published in Towards Data Science · 13 min read · 10 hours ago — Fine-tuning an audio classification model instead of training from scratch can be more data efficient, leading to better results on the downstream task | Image by author Audio classification is one of the key tasks in audio understanding with Machine Learning