A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

A deep multi-objective regression model that can predict the chemical composition of Mercury & Moon.

This repo is tutorial for exploring various algorithms for Multi-output prediction in ML and DL using a regressor data and understanding them how mathematically they work.

Preliminary investigation of machine learning techniques to perform parameters estimation for different crystal structure: hexagonal, monoclinic, orthorhombic, tetragonal, triclinic, trigonal.

The project involves an innovative 3D flower avatar — a rose, that dynamically visualizes human emotions through color changes and movement, redefining human-computer interaction.

A machine learning-based Streamlit app that predicts daily calorie needs and provides a personalized macronutrient and hydration plan based on user lifestyle inputs.

Time series data forecasting

Repo containing my solution to the English Language Learning competition on Kaggle

MLOPSZoomcamp Final Project 2025