Explain Your Machine Learning Predictions With Tree SHAP (Tree Explainer)
Author(s): Chetan Ambi Originally published on Towards AI. Shapley values Source: SHAP Explainable AI (XAI) is one of the hot topics in AI-ML. It refers to the tools and techniques that can be used to make any black-box machine learning to be …
Finding Common Ground: US Presidents State Analysis
Author(s): Aadit Kapoor Originally published on Towards AI. Data Science, Data Visualization Finding common ground: US Presidents State Analysis https://unsplash.com/photos/zfKlCKK-Ql0 Introduction We aim to find any correlation between a US President and its state concerning other Presidents. We use data from different …
Tweet Topic Modeling: Visualizing Topic Modeling Results with Plotly
Author(s): John Bica Originally published on Towards AI. Multi-part series showing how to scrape, preprocess and apply & visualize short text topic modeling for any collection of tweets Disclaimer: This article is only for educational purposes. We do not encourage anyone to …
An AI Practitioner’s Guide to the Kdrama Start-Up (Part 2)
Author(s): Jd Dantes Originally published on Towards AI. Artificial Intelligence Generating fun with adversarial networks (GANs). Episode 7. Who’s GANna change the light bulb? I see they’re getting adversarial here. (Sorry.) Images are screenshots by the author unless stated otherwise. In the …
Dataset Used:-
Author(s): Pushkara Sharma Originally published on Towards AI. Natural Language Processing, Programming Automatic Moderator for StackOverflow Questions In this article, we will try to build a machine learning model that will automatically predict the quality of the question asked by the person …
A Quick Introduction to Semantic Clustering for Large Texts
Author(s): Yash Prakash Originally published on Towards AI. Group together documents with similar meaning in a large corpus easily. Photo by Melissa Askew on Unsplash Many times, a simple Natural Language Processing task such as grouping together a large collection of sentences …