There are 1 repository under forcasting topic.
Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
weatheril is an unofficial [IMS](https://ims.gov.il) (Israel Meteorological Service) python API wrapper.
Scripts to build and run WRF and WPS in docker
Weather forcast application using 7times api
Bitcoin-Stock-price-prediction-with-Time-series-FBprophet- Time Series Analysis in Python
Description of The coffee market and Arabica commodity price forecasting
A simple approach to earthquake forecasting
WordPress plugin providing a widget to display real-time forecast for any location in Portugal (mainland and archipelagos) in a WordPress website
Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks
This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.
Bu projede TUİK ve Konya Belediye Açık Veri Platformundan alınan verilerle yapılmış 3 ayrı çalışma bulunmaktadır.
An implementation of AE LSTM based. We test our architecture on several tasks as reconstructing synthetic time series, s&p 500 stocks, and forecasting s&p 500 stocks based on the decoded information (also known as latent space) features we extract from the AE
AAAI 2021: A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
Building different models for non-seasonal and seasonal approaches by using ARIMA and SARIMAX in statsmodels package, respectively.
Analysis of the covid-19 pandemic with forcasting the deaths in the next 30 days
Forcasting the volume of DATA 2G, 3G and 4G stream
Building a forecasting model to forescast stock index in Tunisia (TUNINDEX)
Multivariate time series analysis on london bike sharing dataset
This Model is Base On Halt & Winter Algorithm.This Model is Forecast About Seasonal Data.
The challenge was organized by zs on Hackerearth and it was open for US citizens. I scored 5th rank on leaderboard
A Time Series Approach for Predicting Hourly Consumption Using XGBoost. This project explores patterns in energy consumption through feature-rich time series forecasting, providing accurate predictions and insights.
Weather app that supports all cities
APMLV ( i.e. Automated Prediction and Management of Logical Volumes ) is a project that leverages deep learning and automation to optimize the management of logical volumes resources
Time Series Analysis using Statsmodels' ARIMA model
ABC2023-WearingOffChallenge
Predict the apple stock market price for next 30 days. There are Open, High, Low and Close price has been given for each day starting from 2012 to 2019 for Apple stock.
study COVID-19 outbreak with the help of some basic visualizations techniques , Perform predictions and Time Series forecasting in order to study the impact and spread of the COVID-19 in comming days.
Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).