Arvind Muthiraparambil Shine
Computer Science at University of Nottingham
Data scientist specializing in machine learning, Computer Science at University of Nottingham. Analyzed various models for stock price forecasting, achieving significant accuracy improvements. Developed regression models to predict house prices using property features and data preprocessing.
Work by Arvind Muthiraparambil Shine
- Stock Price Forecasting Using SVR, LSTM, LightGBM and TFT
This project compares four models -SVR, LSTM, LightGBM, and the Temporal Fusion Transformer to predict next-day stock prices. The study uses GOOGL as the main stock and includes data from 100 S&P 500 companies (2010–2021). It tests both 5-day and 20-day input windows, uses engineered features, and…