Essential Python Libraries for Data Science
Author(s): Raj kumar Originally published on Towards AI. In Part 1, we built the foundations of the data pipeline. We loaded a real dataset, structured it using Pandas, selected relevant features, and performed numerical transformations using NumPy. By the end of Step …
This Python Package Makes Differentiable Physics Simulations Practical
Author(s): Gowtham Boyina Originally published on Towards AI. It’s from NVIDIA, it's not CUDA I’ve spent way too long fighting with CUDA just to prototype a simple physics simulation. You either hand-roll low-level kernels in C++ — which breaks your Python workflow …
🧠This One Data Science Concept Separates Juniors From Experts
Author(s): Dewank Mahajan Originally published on Towards AI. 🧠This One Data Science Concept Separates Juniors From Experts Most people entering data science assume the gap between junior and senior roles is purely technical — that seniors know more algorithms, write cleaner Python, …
Why Traditional ML Fails at Fraud Detection (And How I Fixed It)
Author(s): Dewank Mahajan Originally published on Towards AI. How data science, domain intuition, and robust feature engineering come together to fight modern financial fraud. Why Fraud Detection Is a Human Story Fraud isn’t just a data problem.It’s a battle of wits between …
A Practical Walkthrough of Min-Max Scaling
Author(s): Amna Sabahat Originally published on Towards AI. In our previous discussion, we established why normalization is crucial for achieving success in machine learning. We saw how unscaled data can severely impact both distance-based and gradient-based algorithms. Now, let’s get practical: How …
My GPT-4 Secrets to Quick and Awesome Data Visual Results
Author(s): John Loewen, PhD Originally published on Towards AI. Tips for using GPT-4 to optimize your data visual workflow For the past 2 years now I have been a heavy daily GPT-4 user. I pay for the GPT-4o version and I now …
Is The New GPT-4 Deep Research Tool Any Good? Here’s What I Found
Author(s): John Loewen, PhD Originally published on Towards AI. Prompting to explore data visualization research capabilities As a data science professor, I have been using GPT-4 daily for more than 2 years to help me with my work. And wow, it really …
Better GPT-4 Prompting: Surprisingly Simple Streamlit Mapping on Global Generosity
Author(s): John Loewen, PhD Originally published on Towards AI. Modular prompts for an awesome interactive dashboard Python Streamlit is a terrific tool for creating interactive web interfaces — and GPT-4 can whip up slick functional Streamlit code in a jiffy. NoneThis article …
Build an EDA Playground with Streamlit
Author(s): Himanshu Sharma Originally published on Towards AI. A hands-on guide to building your own Data Prep & Visualization app with Streamlit We’ve all been there: excited to try a new model on a fresh dataset, only to spend hours filling missing …
Microsoft Fabric: The Game-Changing Analytics Platform That’s Revolutionizing How Organizations Handle Data
Author(s): Naveen Krishnan Originally published on Towards AI. Image Source—Author Before Microsoft Fabric, creating a simple sales report felt like an impossible task. I still remember CTOs saying “Our data was scattered across seven different systems, each with its own ETL pipelines, …
Data Storytelling with Altair and pynarrative: Turning Data into Insight
Author(s): S Aishwarya Originally published on Towards AI. Strong data storytelling goes beyond simply visualizing numbers it uncovers the meaning behind the patterns, bringing clarity to what would otherwise be just a spreadsheet of values. Photo by Carlos Muza on Unsplash While …
Data Storytelling Guide: Turn Numbers into Insights
Author(s): Noro Chalise Originally published on Towards AI. 1. Introduction Have you ever looked at a spreadsheet filled with numbers and felt completely lost? The information is there, but it does not say anything clearly. There is no message, no insight, and …
Is Gemini’s New Data Science Agent Useful? Here’s The Truth
Author(s): John Loewen, PhD Originally published on Towards AI. Testing Python code creation and distribution in Google Colab In Google Colab, Gemini makes it possible to go from a plain-text instruction to a functional, multi-step notebook — without switching tools. In other …
How to Prompt GPT-4 For Authentic Data Visuals That Make You Look Like a Pro
Author(s): John Loewen, PhD Originally published on Towards AI. Exploratory analysis and data storytelling on global forest loss Prompting GPT-4 for exploratory data analysis and storytelling are an essential tool to add to your data science toolbox. For example, bar chart analysis, …
Having Streamlit Superpowers: The Best GPT-4 Prompts For Guaranteed Data Visuals
Author(s): John Loewen, PhD Originally published on Towards AI. No-fuss prompting for error-free Python Streamlit data viz code How easy is it to create data visuals with GPT-4 and the Python Streamlit library? Way easier than I ever expected! A little bit …
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