forecasting-model

Programs for stock prediction and evaluation

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

COVID-19 infectious forecasting using SEIR model and R0 estimation

Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.

🏘️ The Town Energy Balance (TEB) model software and platform

Analytics Vidhya Hackathon

Predictive Analytics

Using the Prophet package published by Facebook to do time series forecasting. This is a beginner's level walk-through

Forecast of the level of pollution in the next hour in Beijing based on historical information

🌀 🏘️ The WRF-TEB software repository

Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.

Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.

Regression models mapping m inputs to n outputs. I have tried to make this code as configurable as possible by using .yaml configurations. Please read the config comments and set appropriate config variables to successfully run the application. Also, documentation is generated using Sphinx 1.8.0 and can be read at 'docs_build\html\index.html' in the parent directory

Python scripts from CryosphereComputing

This repository contains the time series forecasting and analysis of stock market prices of different companies.

Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to analysis has been shown in the notebook.

Code library

R package for the Station Demand Forecasting Tool

Forecast Model for Covid-19

Summer project 2020 under Prof. Subrata Nandi

Sustainable development goal 6. A review of the linear and alternative projection methods used for monitoring progress on drinking water and sanitation using JMP database

Stock Analysis dashboard app using Dash plotly.

This repo is about forecasting the Yen movements in order to know whether to be long or short.

This project implements the long-term Social Security forecast model used by Brazilian Federal Government to estimates the revenues and expenses of National Pensions. The purpose of this implementation is to reproduce the forecasts of revenue and expenses presented in Table 5.2 of the Budget Guidelines Law (LDO) of 2012.