Browsing: Data Science

A Simple Guide for Practical ApplicationsHave you ever had a need for a dataset that doesn’t easily exist? Wanted to easily generate data that matches your…

Why I stopped freaking out that AI will replace me and what I do insteadWe all know it. AI is coming for us.It’s no longer a…

Assessing the options for GenAI information integration along with considerations for your specific company12 min read·19 hours agoTitle card created by the authorWhile GenAI is super…

This is how I used real estate data and powered them using OpenAI Large Language Model GPT3Image made by author using DALL·E3This article starts with a…

Image by AuthorWhat if you were told there exists a new way to measure the relationship between two variables just like correlation except possibly better. More specifically,…

Image created by author using Dall-E 3Results from experiments to evaluate and compare GPT-4, Claude 2.1, and Claude 3.0 OpusMy thanks to Evan Jolley for his…

Traditional ApproachMany existing implementations on survival analysis start off with a dataset containing one observation per individual (patients in a health study, employees in the attrition…

Exploring Chronos: How foundational AI models are setting new standards in predictive analyticsThis post was co-authored with Rafael Guedes.Time series forecasting has been evolving towards foundation…

Why Strategic Classification Is Useful: MotivationBinary classification is a cornerstone of machine learning. It was the first topic I was taught when I took an introductory…

How to develop a time series forecasting project using Scikit-LearnPhoto by Roger Ce on UnsplashIn the world of data-driven decision-making, time series forecasting plays a pivotal…