Multi-Objective Hybrid Autoscaing (MOHA)

Price Prediction in Airbnb Santiago using Support Vector Regression (SVR)

Machine learning web application for predicting automobile prices using Random Forest regression algorithm

Simple speech recognition using Annyang.

Recommender Systems 2021/2022: Content Based Recommenders Project

Time-series stock price forecasting pipeline using LSTM neural networks and Scikit-learn — automated feature engineering with 21 technical indicators, rolling-window validation, and interactive Plotly dashboards for volatility and investment insights.

This project develops a predictive model for student academic performance by analyzing 80,000 synthetically generated student records. By leveraging both linear and non-linear machine learning algorithms, we identify key factors influencing exam scores and provide actionable insights for educational institutions.