Abstract: Public safety in disaster operations relies heavily on accurate predictions which help minimize flood damages. The Long Short-Term Memory (LSTM) neural network demonstrates exceptional ...
This repository contains the code and documentation for a project that focuses on predicting stock market prices using LSTM models and optimizing a portfolio based on these predictions. Objective: ...
Abstract: Accurate sales forecasting is crucial for retail giants like Walmart to optimize inventory management, plan operations, and enhance customer satisfaction. This study aims to develop a robust ...
The program, as constructed, is essentially a subscription service that requires you to self-report your usage. Californians will have to report their mileage and be billed per mile every month. KMPH ...
An end-to-end machine learning project that forecasts stock and asset prices using Facebook/Meta Prophet time series forecasting model, then applies Markowitz portfolio optimisation to rebalance ...
As part of my Advent devotional time, I’m reading Howard Thurman’s The Mood of Christmas. Thurman was an African American theologian, mystic, and scholar who founded The Church for the Fellowship of ...
We are all trying to find ways to save some extra money, particularly when it comes to transportation. If you are in the market for a new car, you could be looking at some electric vehicles in hopes ...
JOHANNESBURG, Nov 28 (Reuters) - The South African rand edged up on Friday after the release of monthly economic data from the central bank, revenue service agency and National Treasury. At 1423 GMT, ...
ATLANTA, Ga. - On Wednesday, Georgia Power filed new testimony defending its proposal to add roughly 10,000 megawatts of energy to help run data centers statewide. For context, energy experts say ...
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