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.
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.
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.
Time series data forecasting
MLOPSZoomcamp Final Project 2025
Repo containing my solution to the English Language Learning competition on Kaggle
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