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This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
This project provides live water pressure measurements via a web dashboard running on a Raspberry Pi, logs the data, and creates time series forecasts of future water pressure.
A comprehensive Stock Market Prediction tool using LSTM models and a Streamlit-based user interface, featuring real-time news integration and interactive visualizations.
This is a Kaggle competition, we use time series forecasting to forecast store sales on data from Corporación Favorita, a large Ecuadorian based grocery retailer. The evaluation metric is the Normalized Weighted Root Mean Squared Logarithmic Error (NWRMSLE).