WEAR
WEAR, ABC 3 is the ABC affiliate for Northwest Florida and South Alabama that provides local news, weather forecasts, traffic updates, notices of events and items of interest in the community ...
codehax41/Predict-Future-Sale
You are provided with daily historical sales data. The task is to forecast the total amount of products sold in every shop for the test set. Note that the list of shops and products slightly changes every month. Creating a robust model that can handle such sit…
Kripakaran/Predicting-Future-Sales-Kaggle
forecast the total amount of products sold in every shop for the test set (ongoing competition in kaggle) (⭐ 3)
5 trends shaping the energy world in 2025
Mar 3, 2025 · 2. Capital allocation and finance Investment in the supply of energy and natural resources will reach record levels in 2025, with spend exceeding $1.5 trillion over our forecasts, up 6% in real …
Yu-Group/covid19-severity-prediction
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. ? (⭐ 231)
Stochastic Modeling and Forecast of Hydrological Contributions in the Colombian…
In this paper as show that hydrological contributions in the colombian electrical system during the period between 2004 and 2016 have a periodic dynamic, with fundamental periods that are repeated every three years and that tend to oscillate around a...
Zylo, Inc - The Leader in SaaS Management
Jun 6, 2016 · Zylo, Inc. (Zylo) provides a software management platform to help customers gain full visibility into their cloud-based software and proactively manage applications, forecast spending, …
Why Zylo: The Leading SaaS Management Platform for Visibility
Zylo provides visibility, insights, and workflows with tools designed to address the complexities of SaaS. Bring SaaS under financial control for accurate budgeting and forecasting.
Discovering material information using hierarchical Reformer model on financial…
Most applications of machine learning for finance are related to forecasting tasks for investment decisions. Instead, we aim to promote a better understanding of financial markets with machine learning techniques. Leveraging the tremendous progress i...
EFT of Inflation: Reflections on CMB and Forecasts on LSS Surveys
We investigate the possibility of constraining parameters of Effective Field Theory (EFT) of inflation with upcoming Large Scale Structure (LSS) surveys in order to have a better understanding of inflationary dynamics. With the development of the con...
bagmk/Quantum_storm-chasers
We propose an quantum image processing platform covering various verticals such as weather forecasting. They all can be modeled using recurrent neural networks due to their temporal interactions. In our detailed business proposal we describe the weather foreca…
AI Futures Project - Wikipedia
policy, forecasting, and risk analysis.[non-primary source needed] The mission of the AI Futures Project is to develop detailed scenario forecasts of the
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechan…
Accurate forecasting of river water levels is vital for effectively managing traffic flow and mitigating the risks associated with natural disasters. This task presents challenges due to the intricate factors influencing the flow of a river. Recent a...
saradindusengupta/Solar-Power-Forecasting
This project is part of my final semester project work for M.Sc degree. The main scope and target here is to forecast annual solar power output from geographic locations from Asia (depends on data) and then reduce the total soft cost incurred . The work is det…
Consensus Economics - Wikipedia
Pacific. In addition to the forecasts made available to subscribers, Consensus Economics offers more up to date and detailed forecast data to institutional
XGBoostLSS -- An extension of XGBoost to probabilistic forecasting
We propose a new framework of XGBoost that predicts the entire conditional distribution of a univariate response variable. In particular, XGBoostLSS models all moments of a parametric distribution (i.e., mean, location, scale and shape [LSS]) instead...
rafaeldwan/react-weather-app
Seven day detailed forecast using the wunderground.com API and create-react-app (⭐ 3)
I made a very detailed map of Donald Trump's job approval rating
States are so boring. For the last few years, I have been dreaming of putting together a system that could forecast political attitudes at the local level using polling data. I have more free time now...
Weather forecasting for Operation Overlord - Wikipedia
weather for the next three or four days have been confirmed" and gave a detailed forecast of rough seas, winds up to force six and low cloud. All seemed temporarily
Olliang/Time-Series-Forcasting-Seq2Seq
A time series forecasting project from Kaggle that uses Seq2Seq + LSTM technique to forecast the headcounts. Detailed explanation on how the special neural network structure works is provided. (⭐ 27)