This project provides a comprehensive approach to financial data analysis, forecasting, and portfolio optimization for GMF Investments. It includes exploratory data analysis (EDA), time series forecasting with ARIMA, SARIMA, and LSTM models, and portfolio optimization based on forecast insights.

This project involves building a Bitcoin price predictor using various time series models, including ARIMA, LSTM, TimeGPT and FBProphet. The predictor has been deployed using Streamlit for an interactive and user-friendly experience.

Retail sales forecast based on the US Department of Agriculture's Economic Research Service report (from October 2019 to May 2023).

A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, and features Streamlit-based visuals and a feedback loop to improve inflation management and economic stability.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Mastering Time Series Forecasting with NEPSE Stock Data (2022-2024) 📊📈

ML Forecasting on EV Population

Time Series Forecasting RShiny dashboard

This project is a customizable real estate market forecasting tool with 10 ready-to-use time series SARIMA models of states including New York, California and Texas.

Predict assets like currencies, cryptocurrencies, and stock prices using ML models

Time series forecasting using ML models (ARIMA, SARIMA, SARIMAX and Prophet)

Pharmalytics is a sales prediction application for Firstmed Pharmacy using the Prophet model and Streamlit.

This repository contains the code and documentation for the final project of the CPE232 course at King Mongkut's University of Technology Thonburi (KMUTT). The project focuses on forecasting global temperature anomalies using ARIMA and SARIMA models.

This project focuses on Time Series Analysis techniques, uncovering patterns and leveraging forecasting models to predict future sales trends.

📆 Forecasting passengers screened at Canadian Airports ✈️

this is a time series project where i tried to forecast unemployment rate of Usa

Julia Package with SARIMA model implementation using JuMP.

Comprehensive Approach to Stock Market Prediction using Real-Time Social Media Analysis, Volume & Open Interest, and Market Depth Analysis

WeatherPredictor is a comprehensive time series analysis project designed to forecast future temperatures based on historical data. Using advanced statistical models like ARIMA and SARIMA, this project analyzes and predicts temperature trends for various global cities.

SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.