Prediction Market Platform: Easy to Deploy, Open Source MIT Licensed

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…

Project In Ecole Centrale Casablanca

Plotly Dashboard for calibrating WOFOST 7.2

This repository delves into estimation of statewise-GDP for Australia, specifically forecasting and nowcasting the estimate post-COVID.

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

Forecasting the Total Fisheries Production in Kerala - Development and Comparitive Analysis of Machine Learning Models

Forecasting the player count for the game CS:GO.

self archived publications

Conditional forecasts of defense and commercial markets under Chinese military primacy, 2026 to 2035. A seeded, reproducible Python pipeline over fourteen source families, with three tested hypotheses, a unified hypothesis dataset, and an interactive results page.

A comprehensive implementation of the Theta Model for time series forecasting. Includes model estimation, sensitivity analysis, diagnostics, and extensions. Uses statsmodels, pandas, and matplotlib.