This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

Here, I will put Machine learning tasks which are done using Automated Machine Learning.

Autism Prediction in Adults

Using FLAML to build a ML model for predicting University Admission chances

Best practices for solving Machine Learning Classification problems with advanced tools

2023 Columbia ADI Hackathon: Best Beginner Prize

Build your own Recommendation Systems !!!

AutoML Libraries for training multiple ML models in one go with less code.

A simplified setup for users to explore the AutoGen library. Contains example scripts derived from AutoGen notebooks for a hassle-free experience.

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery