With 2023 just in, it is time to discover new data science and machine learning trends. While the old stuff is still essential, knowing Pandas, NumPy, Matplotlib, and…
Python is the most widely used programming language in the data science domain. This article presents seven Python tips for runtime and memory reduction.
In this post, I’m introducing PyCircular, a specialized data analysis python library designed specifically for working with circular data. As one of the authors, I am excited to share this powerful…
Artificial Intelligence (AI) is a disruptive and fast-moving field whose developmental trajectory is accelerating rapidly. In fact, the number of publications in this space has been rising…
Hands-On Feature Engineering with Scikit-Learn, Tensorflow, Pandas and Scipy. “7 of the Most Used Feature Engineering Techniques” is published by Dominik Polzer in Towards Data Science.
In this article, we'll look at how seniors' code approaches differ from juniors' through 5 examples from Advent of Code challenges.
Rumors say Microsoft is "reportedly planning to launch a version of Bing that uses ChatGPT." For the first time in twenty years, search is about to experience a revolution.
Complete guide to explaining ML model in Python with SHAP, TreeSHAP, DeepSHAP and LIME. Shapley values for local & global explainability with visualizations
A website is a reflection of the company. For the most part, it is used to inform users about various products and services and drive sales. However, the website grows and changes over time and many…
In my annual tradition, I spent some downtime at the end of 2022 reflecting on what happened in the data world. As you can tell by the length of this article, my co-author Christine and I had a lot…
