Understanding the major differences between the Python libraries Pandas and Polars for Data Science — This article was revised based on the comments received from Jakob Ullmann, Dr. Robert Kübler, and Thiago Jaworski on January 19th, 2023. Thank you for your input! Pandas is an essential Python library for Data Science. But its biggest downside is that it can be slow for operations on large…

Why it matters and three different ways you can log and organize your ML experiments with pen and paper, spreadsheets, and modern experiment tracking tools. This article was originally published on the Weights & Biases’ blog “Fully Connected” on December 16th, 2022. Imagine you are trying to develop a recipe…

Will ChatGPT replace search engines? A walkthrough with the use case of looking up a sugar cookie recipe — Since its release, people have been discussing whether ChatGPT, a chatbot developed by OpenAI, will replace search engines like Google [1, 2]. Because of its advances compared to common chatbots, ChatGPT has become a popular topic of discussion. It can remember what was said earlier in a conversation, write code…

LR decay and annealing strategies for Deep Learning in Python — What is the Learning Rate in Deep Learning? Neural networks have many hyperparameters that affect the model’s performance. One of the essential hyperparameters is the learning rate (LR), which determines how much the model weights change between training steps. In the simplest case, the LR value is a fixed value between 0 and 1. However, choosing the correct…

Discussing Data Science with Kagglers while eating macarons — Between November 13th and 15th, 2022, Kagglers from all over the world came together in Paris to network, compete, and learn from each other. What are Kaggle Days? Kaggle is a platform mainly known for its Data Science competitions, and Kaggle Days is a series of worldwide events for Kagglers organized by Kaggle fans…

Automate PDF generation with the FPDF library as part of your data analysis — Once you are done with your data analysis, you need to think about how to communicate the results. One part of that communication is to decide in which file format you will provide your data analysis report. I’m sure most stakeholders would prefer a PDF file over an iPython Notebook. …

Fundamental concepts around time series analysis and time series forecasting, including everything from classical approaches to modern machine learning models with examples in Python — This article was originally published on the Weights & Biases’ blog “Fully Connected” on October 12th, 2022. What would you do if you knew what the future would look like? That answer might be “buying bitcoin in 2017” for some people. Or for retailers, that answer could be “stocking up…

A data visualization technique for 2-dimensional time series data using imageio — We all know that line plots are the most intuitive way to visualize a time series. But how would you visualize a time series with two features that have a relationship, like x and y coordinates or longitude and latitude? GIFs are a great way to visualize 2-dimensional time series…

How to manipulate and visualize time series data in datetime format with ease — Working with time series data can be intimidating at first. The time series values are not the only information you have to consider. The timestamps also contain information, especially about the relationship between the values. The timestamps also contain information, especially about the relationship between the values.