Popular GitHub Repositories for Multivariate Analysis

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtained from Bagalkot wind farm, Karnataka, India, in the year 2014.

Bitcoin Price Prediction model - LSTM | Multivariable (Price&Polarity) Time Series Forecasting with NLP for Twitter Sentiments aka my Master's Thesis

STAT 154: Modern Statistical Prediction and Machine Learning

Stock Market Analysis: Time Series Forecasting with ML & RNN-LSTM techniques