🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.

📊 Analyze time series data and master financial engineering with Python in this comprehensive course designed for aspiring quantitative analysts.

📈 Analyze and forecast time-series data using Python with clear techniques and tools for beginners and advanced users alike.

Identification and modeling of the underlying stochastic process for Natura&Co's Gross Revenue time series

A time-series companion package to healthyR

ARIMA implementation in Go

🕜 This repository focuses on time series forecasting for AdEase to predict Wikipedia page views and optimize ad placements using ARIMA, SARIMAX, and Prophet models, analyzes trends, seasonality, using exogenous data, providing actionable insights and strategic recommendations for improving ad performance across different languages.

The set of functions used for time series analysis and in forecasting.

This repository was created to host my solutions to the official Alteryx weekly challenges.

A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.

This machine learning project, using ARIMA and Linear Regression Models, predicts the Russian losses of soldiers in the ongoing war against Ukraine for the year 2026

In this project, I explore the use of Large Language Models (LLMs) for time series forecasting, focusing on the task of stock market prediction.

These are R and Python codes accompanying my course in advanced time series at the Department of Economics, Bogazici University

An analysis of the market on electric vehicles of different manufuctures

A Swift iOS application that integrates a Python backend using ARIMA time-series modeling to generate long-term temperature forecasts (6+ months). The project demonstrates how to combine mobile development with statistical forecasting to deliver extended climate predictions.

LLM-Forecast: A Novel Hybrid Forecasting Methodology Integrating ARIMA and Large Language Models

complete-time-series-forecasting

Numerical Computational Research (2009–2014): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.

A comprehensive financial dashboard that integrates real-time stock analysis, predictive forecasting, and risk assessment in a single, interactive platform.

Cloud-based Ethereum (ETH/USDT) price forecasting app using ARIMA time series modeling. Built with Streamlit, Python, and free public APIs for fully online deployment and zero local storage.