Upgini offers plenty of potential. I’m still trying out its features and getting familiar with its different functionality — but so far, it’s proving to be quite useful — especially that GPT feature generator!

David Farrugia - Data Scientist | AI Enthusiast and Researcher

5 / 5

Upgini: A Game Changer Python Library for Feature Enrichment in Machine Learning

Soner Yıldırım - Data Scientist | Top 10 Writer in AI and Data Science

5 / 5

Upgini emerged as the top performer compared to OpenAI and NLTK

Yusuf Melih Basli - Writer on Medium | Data Scientist | Data Analyst | Teacher

Data Enrichment for Beginners with Upgini

LiveDemo

Data enrichment Tutorials and Publications

woman, man, shopping, ecommerce, commerce, e-commerce, sale, discount, percentage, tag.svg

Automated Feature Engineering with Upgini & LLMs

"A guide to augmenting your dataset with new and informative features using Upgini"
"With the newly generated features we see a massive boost in predictive performance — an uplift of 0.1. And the best part is that all of it was fully automated!"

Data Enrichment for Absolute Beginners in Machine learning

"This is a complete tutorial for a sales forecasting project using machine learning for beginners. The dataset we will make use of contains 5-years worth of product sales data. Our goal is to effectively forecast the future sales of those products for the next 3-months. To achieve this goal we will be making use of a state-of-the-art gradient boosting algorithm as well as a python library called Upgini, for data enrichment"

5 Cool Ways to Enrich ML Models with Open Data for Free: An In-depth Review of Python Libraries

"We will do an in-depth review of the 5 of the most popular libraries that provide access to different data types:

📚holidays — holidays in different countries
📚yfinance — stock data from Yahoo Finance
📚meteostat — weather data from weather stations around the world
📚pandas-datareader — stock data and economic statistics from many sources around the world
📚upgini — ready-made features based on many sources"

Data Enrichment for Email response Prediction

"We will use the Intuit dataset available on OpenML website with CCO license. The task is email response prediction so the dataset contains some features and a binary target variable"