Data Talkies

Text data surrounds us — from emails and reviews to tweets and articles. The Image ML Explorer App was built to help learners understand how machine learning models can classify text step by step. It’s an interactive Streamlit app that takes you from raw text to predictions, making the workflow... [Read More]

If you’ve been even remotely involved in building LLM-powered apps, you’ve probably come across LangChain. But as the ecosystem expands, it can start to feel like a tangle of buzzwords: LangChain, LangGraph, LangSmith, LangGraph Platform. What does it all actually mean? [Read More]

Text data surrounds us — from emails and reviews to tweets and articles. The Text ML Explorer App was built to help learners understand how machine learning models can classify text step by step. It’s an interactive Streamlit app that takes you from raw text to predictions, making the workflow... [Read More]

Over the past few weeks, I’ve been experimenting with Streamlit to build a lightweight, end-to-end machine learning application. The goal was simple: make it easy to explore datasets, run quick EDA, and compare models, all inside a clean web interface. I only wish I had this app during my Northeastern... [Read More]

In this blog post, we’ll explore how to effectively use unit tests for a data science project using the Pytest framework. We’ll use the popular Iris dataset as an example to demonstrate how to write tests for data preprocessing, model training, and evaluation functions. [Read More]